library(tidyverse, quietly = T)
library(readxl)
library(janitor)
library(kableExtra)
library(gt)
library(corrplot)
library(Hmisc)
library(ggpubr)

Import data:

# Import cleaned data

#Demographic data
df_demo <- read_csv("df_demo_2024.01.30.csv")

# Individual listener ratings
# listenerRatings <- read_csv("df_ListenerRatings_all_2024.01.30.csv",
#                             guess_max = 2000)

# Average listener ratings across ALL speakers
df_LRs <- read_csv("df_LRs_M.SD_2024.01.30.csv")

Brief Background

Voice and speech signals can reveal information about a person’s personality. Listeners may use this acoustic information to infer a speaker’s dominance, competence, and trustworthiness ( Baus et al., 2019; Belin et al., 2017; McAleer et al., 2014 ). These personality judgments have real world consequences and may influence which candidates get elected for public office ( Klofstad, 2016 ) or a company’s stock price ( Harrison et al., 2020 ). Prior studies suggest that although listeners may not be “accurate” (i.e., high rater-target agreement), many listeners tend to agree on how a speaker comes across (i.e., high rater-rater agreement; Welch et al., 2021 ). As technology continues to advance and provide more opportunities for people to interact via speech alone, it is important to better understand how judgments are made based on an individual’s speech.

Methods

We recruited 197 speakers (targets) and 1,174 listeners (raters) to participate in an online experiment. Speakers were recruited through online postings on social media and participated via a custom website (Canonical Voice) that allowed them to fill out the required questionnaires and record themselves speaking.

All speakers (targets) and listeners (raters) completed the same series of questionnaires prior to recording/rating the speech tasks.

These questionnaires included:

  1. Demographics

  2. Big Five Aspect Scales (BFAS; DeYoung et al., 2007 )

  3. Center for Epidemiological Studies – Depression (CES-D; Radloff, 1997 )

Speakers
(Targets)

Each speaker was instructed to record the following speech tasks at a comfortable pitch and volume:

  1. Say ‘ah’ for 3-5 seconds

  2. Recite the months of the year

  3. The six sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V):

– The blue spot is on the key again.

– How hard did he hit him?

– We were away a year ago.

– We eat eggs every Easter.

– My mama makes lemon muffins.

– Peter will keep at the peak.

  1. The Rainbow Passage

  2. Describe how to make a peanut butter and jelly sandwich

  3. Describe what is happening in the picture below

The updated Cookie Theft picture

The updated Cookie Theft picture

These recordings were combined and edited to create a single recording per speaker with 2 seconds of silence between each task.

Listeners
(Raters)

Listeners (raters) were recruited via CloudResearch. Raters were excluded if they ranked in the top 2% of MTurk workers based on HITs completed to recruit more naïve workers. Additionally, listeners had to have completed at least 100 HITs with a 90% approval rating. After accepting the HIT, listeners were directed to create an account on Canonical Voice, where they completed a series of questionnaires. After creating their account and completing the questionnaires, raters began listening to the speakers’ recordings and rating the speakers’ traits.

Procedure

Speakers’ recordings were randomly assigned to one of 15 listening modules. Listeners could complete as few or as many modules as they wished and in any order. Listeners who rated less than 10 speakers (i.e., recordings) were removed and not included in the current analysis.

After listening to the recordings of a given speaker, listeners rated the speaker along the 10 aspects of the BFAS – i.e., Volatility, Withdrawal, Compassion, Politeness, Industriousness, Orderliness, Enthusiasm, Assertiveness, Intellectual, and Openness. Each aspect was rated on a five-point Likert scale where 1 = “Not at all” to 5 = “Extremely.” Each BFAS Aspect was described using the language of the Aspect scale’s items (e.g., For the Politeness Aspect Scale, listeners were asked, “How polite does this person sound? Do they sound like they avoid imposing or putting pressure on others; respects authority; does not seek conflict; not out for personal gain?”).

Listeners also provided their confidence level of their ratings for each personality trait along a visual analogue scale (VAS), with three anchors: Not at all confident (0), Neutral (50), and Completely confident (100). Numbers were not displayed and the VAS required that listeners move the slider to prevent listeners from leaving the slider on the initial “Neutral” starting place. Note: The confidence ratings are not used in the current analysis.

Listeners also rated speakers on several other traits, including: 1) “How attractive is this speaker?” using a VAS from “Not attractive,” “Neutral,” to “Attractive;” 2) “I think this speaker is a…” with a binary force choice between “male” or “female;” followed by 3) “I think this speaker sounds…” VAS from “Very masculine,” “Neutral,” to “Very feminine;” 4) “How old is this speaker?” using radio buttons with ages in groups of five (i.e., 18-22, 23-27, and so on); and 5) “What is the socio-economic status of the speaker.” Each of these items also required listeners to rate their confidence in their rating from “Not at all confident,” “Neutral,” to “Completely confident,” except for the masculinity and femininity ratings.

Results

Data used for the present analysis

Demographics

paste("Below is a DF with the demographic information of all", nrow(df_demo), "participants. Only the first 200 rows are shown.")
## [1] "Below is a DF with the demographic information of all 1368 participants. Only the first 200 rows are shown."
df_demo %>%
  head(200) %>%
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
ID role eng hear sex gender ses childhood currently edu job inputdevice outputdevice followup mood cv Withdrawal Volatility Neuroticism Compassion Politeness Agreeableness Industriousness Orderliness Conscientiousness Enthusiasm Assertiveness Extraversion Intellect Openness Int.Open cesd.total race_w race_h race_b race_a race_na race_pi race_o race_pnts race_NotAnswered languages_spoken age ses_label
93 speaker 4 1 female female 4 3 2 8 Social worker iPhone microphone iPhone speaker 1 3 1 3.8 3.4 3.60 5.0 4.8 4.90 4.1 4.2 4.15 4.7 3.5 4.10 2.9 3.5 3.20 15 0 1 0 0 0 0 0 0 0 English,NA 28 Working class
94 speaker 3 1 male male 2 2 2 9 Physician External Jabra microphone on laptop External Jabra speaker on laptop 1 5 1 2.6 1.5 2.05 4.2 3.5 3.85 3.8 3.8 3.80 3.6 3.0 3.30 3.5 3.7 3.60 4 0 1 0 0 0 0 0 0 0 English,Spanish 34 Upper-middle class
98 speaker 4 2 male male 3 3 3 4 Student Microphone on CORSAIR - HS70 PRO headset Headphones on CORSAIR - HS70 PRO 1 4 1 3.1 2.3 2.70 4.9 3.8 4.35 3.3 3.6 3.45 4.5 4.0 4.25 4.6 4.4 4.50 9 1 0 0 0 0 0 0 0 0 English,Spanish 22 Middle class
99 speaker 4 3 female female 3 3 2 8 Museum Education Desktop Computer Microphone Desktop Computer speaker 1 4 1 4.8 3.3 4.05 4.9 3.6 4.25 2.2 3.8 3.00 4.8 3.5 4.15 3.8 4.4 4.10 47 1 0 0 0 0 0 0 0 0 English,NA 25 Middle class
101 speaker 4 3 male nonbinary 2 3 2 8 Student/Educator CMTECK USB Desktop Computer CM001 Microphone Oontz XL Bluetooth Speaker (wired through computer audio jack) 1 4 1 2.6 2.2 2.40 4.4 3.1 3.75 4.2 4.1 4.15 3.6 4.9 4.25 5.0 4.0 4.50 8 1 0 0 0 0 0 0 0 0 English,NA 29 Upper-middle class
102 speaker 4 1 female female 3 3 3 8 Graduate student AKG Lyra external USB microphone Airpod prods–apple 1 4 1 3.6 3.1 3.35 4.2 3.4 3.80 2.5 4.1 3.30 3.5 3.4 3.45 4.1 4.0 4.05 9 1 0 0 0 0 0 0 0 0 English,French 27 Middle class
104 speaker 4 1 female female 3 3 2 8 Speech Language Pathologist Microphone on Gaming Headset (Razer Kraken Headset) Headphones on Gaming Headset (Razer Kraken Headset) 1 4 1 3.5 2.4 2.95 4.2 3.7 3.95 4.3 4.5 4.40 3.4 4.0 3.70 3.8 3.0 3.40 12 1 0 0 0 0 0 0 0 0 English,Spanish 29 Middle class
105 speaker 4 1 female female 2 3 3 8 SLP RODE microphone laptop speaker (Macbook air) 1 4 1 2.2 4.0 3.10 4.9 3.9 4.40 2.2 2.3 2.25 4.9 4.8 4.85 4.5 4.8 4.65 4 1 0 0 0 0 0 0 0 0 English,Spanish 34 Upper-middle class
106 speaker 4 2 female female 4 3 1 4 disabled Huawei phone microphone Huawei phone speaker 1 3 1 3.4 3.2 3.30 3.9 4.4 4.15 1.3 2.3 1.80 2.3 3.4 2.85 4.3 4.7 4.50 37 1 0 0 0 0 0 0 0 0 English,french 37 Working class
109 speaker 4 3 female female 3 3 2 8 Speech-language pathologist Laptop microphone Laptop speaker 1 4 1 3.4 2.2 2.80 4.9 3.7 4.30 3.0 3.1 3.05 4.3 3.0 3.65 3.6 3.6 3.60 8 1 0 0 0 0 0 0 0 0 English,NA 28 Middle class
113 speaker 3 1 female female 5 3 3 8 Clinical Researcher in Speech Pathology laptop microphone laptop speaker 1 4 1 3.6 3.9 3.75 4.5 3.8 4.15 3.0 2.8 2.90 3.1 3.0 3.05 3.4 4.0 3.70 8 0 0 0 1 0 0 0 0 0 Cantonese,English 28 Lower class
115 speaker 4 2 female female 2 1 3 7 Graduate Teaching Assistant IPhone 7 microphone iPhone 7 speaker 1 4 1 3.2 3.1 3.15 4.6 4.0 4.30 2.4 2.7 2.55 4.5 4.1 4.30 3.9 4.2 4.05 24 1 0 0 0 0 0 0 0 0 English,NA 21 Upper-middle class
118 speaker 4 1 female female 3 2 2 7 Policy analyst iphone headset microphone iphone headset microphone 1 4 1 2.3 1.5 1.90 4.0 4.2 4.10 2.8 3.2 3.00 4.2 3.7 3.95 3.8 3.7 3.75 24 0 1 0 0 0 0 0 0 0 English,NA 26 Middle class
119 speaker 4 2 female female 2 3 3 7 Full Time Graduate Student Macbook microphone Macbook speaker 1 4 1 3.0 2.9 2.95 4.5 4.1 4.30 3.5 4.1 3.80 3.9 2.9 3.40 3.0 3.9 3.45 16 1 0 0 0 0 0 0 0 0 English,NA 22 Upper-middle class
120 speaker 3 2 male male 2 4 1 9 medicine resident Logitech USB A-0234A Srhythm NC-25 1 4 1 3.4 2.9 3.15 4.9 4.1 4.50 3.3 3.3 3.30 4.0 2.5 3.25 3.6 4.1 3.85 17 1 0 0 0 0 0 0 0 0 English,NA 28 Upper-middle class
122 speaker 4 2 female female 2 3 3 7 student standard apple headphones (not airpods, they plug in to the computer) laptop connected to standard apple headphones 1 4 1 2.9 2.4 2.65 4.1 3.8 3.95 3.7 3.8 3.75 3.4 3.6 3.50 3.9 4.1 4.00 22 1 0 0 0 0 0 0 0 0 English,NA 24 Upper-middle class
124 speaker 4 2 female female 3 3 3 4 Marketing Representative MacBook Pro laptop microphone MacBook Pro laptop speaker 1 4 1 3.0 3.0 3.00 4.3 3.7 4.00 3.1 2.8 2.95 4.3 4.0 4.15 3.8 4.1 3.95 0 1 0 0 0 0 0 0 0 0 English,NA 21 Middle class
126 speaker 4 2 female female 3 5 5 3 University student iMacOS Mic iMacOS Mic 1 3 1 4.0 3.4 3.70 4.0 3.4 3.70 2.8 3.2 3.00 2.6 2.9 2.75 3.6 5.0 4.30 25 0 0 0 1 0 0 0 0 0 English,NA 20 Middle class
127 speaker 4 2 female female 0 3 2 7 Realtor Iphone Iphone 1 3 1 3.6 2.8 3.20 4.7 4.5 4.60 2.8 3.4 3.10 3.5 2.7 3.10 3.9 4.2 4.05 36 1 0 0 0 0 0 0 0 0 English,NA 37 I don’t know
128 speaker 4 1 female female 2 3 2 8 Farmer Macbook Air Laptop microphone Macbook Air laptop speaker OR Bose noise cancellation head phones 1 4 1 3.0 2.4 2.70 4.8 4.1 4.45 3.9 3.6 3.75 4.6 4.1 4.35 3.7 3.5 3.60 4 1 0 0 0 0 0 0 0 0 English,NA 32 Upper-middle class
129 speaker 4 2 male male 3 3 2 4 business consultant microphone on iphone 11 iphone 11 speaker 1 4 1 3.2 2.2 2.70 4.3 3.6 3.95 3.3 3.3 3.30 4.3 3.7 4.00 3.8 3.9 3.85 19 0 1 0 0 0 0 0 0 0 english,NA 29 Middle class
130 speaker 4 1 female female 3 3 2 7 Clinical Placement Assistant IMac audio IMac audio 1 4 1 3.0 1.4 2.20 4.7 4.7 4.70 4.0 4.0 4.00 4.4 3.8 4.10 4.5 4.5 4.50 8 1 0 0 0 0 0 0 0 0 English,NA 31 Middle class
131 speaker 4 2 female female 2 3 2 7 Non-Profit Field Laptop Microphone (Mac) Laptop Speaker 1 3 1 3.3 1.6 2.45 4.2 4.7 4.45 3.8 4.2 4.00 3.0 2.6 2.80 2.9 4.1 3.50 15 1 0 0 0 0 0 0 0 0 English,NA 26 Upper-middle class
134 speaker 4 2 male male 4 3 3 5 National Specialist for Radio Promotions Thinkpad Laptop Microphone Array Thinkpad realtek high definition speaker 1 4 1 3.2 3.4 3.30 3.9 4.1 4.00 3.3 3.6 3.45 3.2 3.0 3.10 3.1 3.9 3.50 11 0 0 0 0 1 0 0 0 0 English,NA 33 Working class
137 speaker 4 1 female female 2 3 2 7 Project Manager Mac Laptop Mac Laptop Speaker 1 4 1 3.3 3.7 3.50 4.1 4.1 4.10 3.5 4.0 3.75 3.6 3.3 3.45 4.0 4.0 4.00 7 1 0 0 0 0 0 0 0 0 English,Spanish 21 Upper-middle class
138 speaker 4 1 male male 1 3 3 7 Medical student Blue Yeti USB Microphone In-ear earbuds 1 4 1 2.8 2.7 2.75 4.0 3.4 3.70 2.4 2.6 2.50 4.1 3.4 3.75 4.8 4.5 4.65 14 1 0 0 0 0 0 0 0 0 English,Spanish 25 Upper class
139 speaker 4 3 female female 2 3 3 8 Mental health therapist laptop laptop speaker 1 5 1 2.2 3.3 2.75 4.5 4.0 4.25 3.5 4.1 3.80 4.7 3.9 4.30 3.5 4.6 4.05 2 1 0 0 0 0 0 0 0 0 English,NA 40 Upper-middle class
140 speaker 4 1 female female 2 3 2 8 artist MacBook Air microphone MacBook Air speakers 1 4 1 2.6 2.7 2.65 3.7 3.9 3.80 3.9 4.8 4.35 4.2 3.6 3.90 3.0 4.7 3.85 4 1 0 0 0 0 0 0 0 0 English,NA 39 Upper-middle class
141 speaker 4 2 male male 2 2 2 9 business executive laptop microphone earbuds, Jabra Elite 65t 1 2 1 2.2 3.0 2.60 3.1 3.8 3.45 3.4 2.5 2.95 3.5 4.4 3.95 4.8 4.5 4.65 16 0 0 0 0 0 0 1 0 0 English,French, arabic 45 Upper-middle class
144 speaker 3 5 female female 3 1 3 8 retired middle school teacher laptop microphone laptop speaker 1 4 1 2.9 2.6 2.75 4.3 3.5 3.90 3.3 3.3 3.30 4.6 3.6 4.10 3.6 4.0 3.80 16 1 0 0 0 0 0 0 0 0 english,NA 69 Middle class
145 speaker 4 1 female female 3 3 2 7 Graduate student Apple Airpod Pros connected to Macbook Apple Airpod Pros connected to Macbook 1 4 1 2.2 2.1 2.15 4.3 3.3 3.80 3.0 4.7 3.85 3.9 4.8 4.35 3.4 4.1 3.75 9 1 0 0 0 0 0 0 0 0 English,Spanish 27 Middle class
146 speaker 4 3 male male 5 3 2 4 retired Dell Inspiron laptop 5593 Bowers & Wilkins MM1 1 3 1 3.1 2.9 3.00 4.0 3.5 3.75 3.9 3.4 3.65 3.9 3.6 3.75 3.8 4.0 3.90 10 1 0 0 0 0 0 0 0 0 English,NA 69 Lower class
147 speaker 4 1 female female 2 3 2 4 Student MacBook Pro Laptop microphone MacBook Pro Laptop speaker 1 4 1 1.8 1.9 1.85 2.7 3.2 2.95 3.0 3.9 3.45 3.8 4.4 4.10 3.9 4.5 4.20 4 1 0 0 0 0 0 0 0 0 English,NA 18 Upper-middle class
149 speaker 4 1 female female 3 1 4 4 Medical Assistant laptop microphone laptop speaker 1 3 1 1.6 2.1 1.85 3.0 4.0 3.50 3.8 4.5 4.15 1.9 3.6 2.75 4.2 3.6 3.90 10 1 0 0 0 0 0 0 0 0 English,NA 40 Middle class
150 speaker 4 3 female female 5 1 1 7 Customer Service Computer Microphone Computer 1 4 1 3.4 2.9 3.15 3.6 3.3 3.45 3.2 3.5 3.35 2.7 3.0 2.85 2.7 2.9 2.80 32 1 0 0 0 0 0 0 0 0 English,NA 45 Lower class
152 speaker 4 1 female female 2 2 2 7 Non-profit program fellow Apple Earbuds microphone on laptop Apple Earbuds 1 3 1 3.7 2.6 3.15 4.0 3.7 3.85 3.0 3.6 3.30 2.8 2.7 2.75 3.4 2.8 3.10 22 1 0 0 0 0 0 0 0 0 English,NA 22 Upper-middle class
153 speaker 4 2 female female 2 1 3 7 Teacher Apple 11 phone Apple phone 1 4 1 2.7 2.5 2.60 4.4 3.7 4.05 3.3 3.5 3.40 3.8 3.4 3.60 3.3 4.4 3.85 0 1 0 0 0 0 0 0 0 0 English,NA 52 Upper-middle class
155 speaker 4 2 female female 3 3 3 7 Engineer Mac laptop microphone Mac laptop speakers 1 3 1 1.8 1.9 1.85 3.7 3.7 3.70 2.8 1.5 2.15 4.0 3.5 3.75 4.2 4.4 4.30 15 1 0 0 0 0 0 0 0 0 English,ASL 28 Middle class
158 speaker 4 1 female female 3 3 1 7 retired laptop microphone laptop speaker 1 4 1 2.0 2.5 2.25 3.9 4.1 4.00 3.2 2.7 2.95 4.1 3.5 3.80 3.0 2.9 2.95 1 1 0 0 0 0 0 0 0 0 English,NA 61 Middle class
159 speaker 3 1 female female 2 2 2 9 Program manager iPhone7 Iphone7 1 5 1 1.4 2.0 1.70 4.2 3.4 3.80 4.8 4.3 4.55 4.9 4.9 4.90 4.6 3.1 3.85 2 1 0 0 0 0 0 0 0 0 Italian,English 35 Upper-middle class
160 speaker 3 1 female female 3 3 3 9 academic laptop microphone laptop speaker 1 2 1 4.2 3.1 3.65 4.4 4.7 4.55 2.5 3.1 2.80 3.2 2.5 2.85 3.6 4.3 3.95 60 1 0 0 0 0 0 0 0 0 Italian,NA 35 Middle class
161 speaker 4 5 male male 5 3 2 7 Program Coordinator microphone on earphones JLab earbuds JLab earbuds 0 3 1 3.2 2.5 2.85 3.6 3.8 3.70 2.8 3.6 3.20 3.0 2.7 2.85 3.2 4.3 3.75 14 0 0 1 0 0 0 0 0 0 English,Spanish 31 Lower class
163 speaker 4 2 female female 3 2 3 7 Retired teacher Bluetooth Air pods Bluetooth air pods 1 4 1 2.0 2.0 2.00 4.8 4.2 4.50 2.3 2.2 2.25 4.1 3.5 3.80 3.9 3.9 3.90 5 1 0 0 0 0 0 0 0 0 English,NA 57 Middle class
177 speaker 4 2 female nonbinary 3 3 2 7 medical assistant laptop: microsoft surface pro 7 headphones (do not know the kind) 0 2 1 2.8 2.1 2.45 4.7 4.2 4.45 3.3 3.4 3.35 2.9 3.5 3.20 3.8 4.4 4.10 28 1 0 0 0 0 0 0 0 0 english,NA 32 Middle class
179 speaker 4 2 male male 3 1 2 7 Student laptop microphone (Apple MacBook Air) laptop speaker (Apple MacBook Air) 1 4 1 3.6 3.3 3.45 4.3 4.0 4.15 2.5 4.2 3.35 3.5 2.8 3.15 3.0 4.1 3.55 14 1 0 0 0 0 0 0 0 0 English,Spanish and ASL – though “fluent” might be pushing it 23 Middle class
180 speaker 3 1 female female 4 2 2 8 reserach assistant Macbook pro laptop microphone Macbook pro laptop speaker 1 4 1 2.5 1.7 2.10 4.3 4.3 4.30 3.2 4.1 3.65 3.7 3.5 3.60 4.1 4.7 4.40 11 0 0 0 1 0 0 0 0 0 English,Hindi, Marathi, Gujrati, Punjabi, Haryanvi 24 Working class
196 speaker 4 3 male male 4 3 2 3 Retired Samsung Chrome 4 Samsung Chrome 4 1 3 1 2.5 2.7 2.60 3.8 4.3 4.05 3.4 3.1 3.25 3.4 3.2 3.30 3.6 3.9 3.75 0 0 0 0 0 0 0 0 1 0 English,NA 68 Working class
197 speaker 4 2 female female 1 3 3 8 homemaker laptop microphone laptop speaker 1 4 1 1.9 2.2 2.05 4.2 4.2 4.20 4.2 4.4 4.30 3.3 4.1 3.70 3.8 3.7 3.75 0 1 0 0 0 0 0 0 0 0 English,NA 55 Upper class
198 speaker 4 2 female female 3 3 3 7 Engineer microphone on Jabra UC Voice 550a ms headset Jabra UC Voice 550a ms headset 1 4 1 2.0 2.8 2.40 3.8 3.4 3.60 3.0 3.5 3.25 3.8 3.1 3.45 3.3 2.6 2.95 1 1 0 0 0 0 0 0 0 0 English,NA 42 Middle class
199 speaker 4 2 male male 4 1 2 7 Research Specialist Lenovo 100S Chromebook Lenovo 100S Chromebook 1 4 1 3.1 3.0 3.05 3.9 3.3 3.60 2.7 3.3 3.00 2.9 2.8 2.85 3.5 4.5 4.00 11 1 0 0 0 0 0 0 0 0 English,Georgian 32 Working class
200 speaker 4 1 female female 3 3 3 8 education USB microphone desktop speakers 1 5 1 1.8 2.0 1.90 4.8 4.9 4.85 4.9 4.9 4.90 4.6 4.4 4.50 3.8 2.9 3.35 3 1 0 0 0 0 0 0 0 0 English,NA 37 Middle class
201 speaker 4 3 male male 3 2 3 7 Loan Processor Earphones microphone Apple headphones 1 2 1 3.3 1.1 2.20 4.9 4.8 4.85 4.7 5.0 4.85 3.6 3.8 3.70 5.0 5.0 5.00 15 0 1 0 0 0 0 0 0 0 English,Spanish, Italian 24 Middle class
202 speaker 4 1 female female 2 3 3 7 Registered Nurse Laptop microphone Laptop speaker 1 2 1 4.3 3.1 3.70 5.0 4.7 4.85 3.5 3.9 3.70 3.7 1.6 2.65 4.0 4.5 4.25 60 1 0 0 0 0 0 0 0 0 English,NA 29 Upper-middle class
203 speaker 3 2 male male 2 3 3 8 Insurance Headset Headset 1 5 1 1.6 2.7 2.15 4.9 3.7 4.30 4.1 3.9 4.00 4.6 4.6 4.60 4.1 4.3 4.20 10 1 0 0 0 0 0 0 0 0 English,NA 54 Upper-middle class
205 speaker 4 2 female female 2 3 2 4 Student Mac Laptop Microphone Mac Laptop Speaker 1 4 1 3.1 2.8 2.95 4.8 4.3 4.55 3.7 4.5 4.10 4.4 4.2 4.30 3.8 4.1 3.95 22 1 0 0 0 0 0 0 0 0 English,NA 21 Upper-middle class
206 speaker 4 1 male male 3 3 2 7 Fraud Analyst laptop laptop 1 3 1 2.5 2.2 2.35 3.1 3.9 3.50 2.2 2.9 2.55 2.5 2.6 2.55 3.8 2.7 3.25 24 1 0 0 0 0 0 0 0 0 English,NA 28 Middle class
207 speaker 4 1 male male 3 3 2 8 Speech Pathologist / Voice Teacher Tonor usb microphone hooked up to laptop Toshiba laptop speakers 1 3 1 2.9 3.4 3.15 4.2 3.3 3.75 3.6 3.1 3.35 4.2 4.3 4.25 4.4 4.3 4.35 14 1 0 0 0 0 0 0 0 0 English,NA 31 Middle class
343 speaker 3 1 female female 3 3 3 7 Retired Laptop Laptop speaker 1 4 1 2.5 1.7 2.10 4.6 4.4 4.50 3.0 2.7 2.85 4.5 3.0 3.75 3.8 4.4 4.10 23 1 0 0 0 0 0 0 0 0 English,German 68 Middle class
345 speaker 4 2 female female 4 6 2 5 Bartender/Waitress Microphone on Skullcandy headphones Skullcandy headphones 1 4 1 2.4 1.9 2.15 4.1 4.1 4.10 2.6 3.3 2.95 4.1 3.5 3.80 3.8 3.9 3.85 11 1 0 0 0 0 0 0 0 0 English,NA 21 Working class
346 speaker 4 2 female female 2 3 2 7 Research Assistant iPad Microphone iPad Speaker 1 3 1 4.4 2.7 3.55 4.9 4.4 4.65 3.8 4.6 4.20 2.7 1.9 2.30 4.3 4.5 4.40 23 0 0 1 0 0 0 0 0 0 English,NA 23 Upper-middle class
347 speaker 4 1 female female 3 3 2 8 genetic counseling graduate student dell laptop microphone dell laptop speaker 1 4 1 2.8 2.5 2.65 4.9 4.7 4.80 3.5 3.2 3.35 4.4 3.8 4.10 4.4 4.0 4.20 23 1 0 0 0 0 0 0 0 0 english,NA 24 Middle class
348 speaker 4 3 female female 4 3 2 7 Rehab aide Mac air microphone Mac air microphone 1 4 1 1.8 1.1 1.45 4.4 4.0 4.20 3.9 3.4 3.65 4.2 3.2 3.70 3.1 3.8 3.45 10 0 0 0 0 1 0 0 0 0 english,NA 26 Working class
350 speaker 4 3 female female 3 3 3 8 Counselor laptop microphone, RealTek High Defintion Audio laptop speaker, Realtek High Definition Audio 1 3 1 3.7 3.0 3.35 5.0 4.7 4.85 3.4 3.5 3.45 3.6 2.6 3.10 3.1 4.4 3.75 19 1 0 0 0 0 0 0 0 0 English,NA 29 Middle class
351 speaker 4 1 female female 4 2 3 7 Bar hostess HP Envy x360 laptop microphone HP Envy x360 Laptop speaker 1 3 1 2.8 3.7 3.25 4.9 4.0 4.45 3.3 3.5 3.40 4.7 3.2 3.95 3.4 3.9 3.65 12 0 0 1 0 0 0 0 0 0 English,Spanish 27 Working class
352 speaker 4 2 male male 3 3 3 5 Unemployed Laptop Michrophone Laptop Speakers 1 3 1 3.7 3.7 3.70 3.5 3.1 3.30 3.2 3.6 3.40 3.2 3.7 3.45 2.9 3.9 3.40 39 1 0 0 0 0 0 0 0 0 English,NA 31 Middle class
353 speaker 4 1 female male 2 3 2 7 Full time graduate student Laptop microphone (Realtek(R) Audio) Laptop speaker (Realtek(R) Audio) 1 4 1 2.7 3.8 3.25 5.0 3.5 4.25 1.7 2.3 2.00 4.7 3.7 4.20 4.9 4.8 4.85 23 0 0 0 0 1 0 0 0 0 English,Spanish 25 Upper-middle class
354 speaker 4 1 female female 2 1 3 7 Corporate Governance Administrator Laptop Microphone - Dell Inspiron 15 3000 Laptop Speaker - Dell Inspiron 15 3000 1 4 1 3.4 2.4 2.90 4.9 4.3 4.60 3.4 3.3 3.35 2.9 3.2 3.05 3.9 4.7 4.30 29 1 0 0 0 0 0 0 0 0 English,NA 33 Upper-middle class
356 listener 3 1 male male 2 3 3 7 Software Engineer laptop microphone Headphones 1 3 1 3.1 3.6 3.35 1.7 2.1 1.90 2.9 2.6 2.75 1.9 3.6 2.75 3.4 3.1 3.25 11 1 0 0 0 0 0 0 0 0 Arabic,English 28 Upper-middle class
357 listener 4 1 female female 3 3 3 8 librarian laptop laptop speaker 1 4 1 2.6 2.2 2.40 3.8 3.5 3.65 3.7 3.1 3.40 3.2 3.8 3.50 3.6 3.5 3.55 10 1 0 0 0 0 0 0 0 0 english,NA 46 Middle class
358 listener 4 1 female female 3 3 3 7 Nurse Laptop Microphone Bluetooth LISN Headphones 1 3 1 3.8 2.6 3.20 5.0 4.0 4.50 3.0 3.8 3.40 4.5 4.6 4.55 2.6 3.0 2.80 44 1 0 0 0 0 0 0 0 0 English,NA 28 Middle class
360 listener 4 1 female female 4 1 1 5 homemaker laptop microphone Headphones 1 4 1 2.9 2.5 2.70 3.9 3.8 3.85 3.4 4.0 3.70 3.6 3.5 3.55 3.6 3.7 3.65 3 1 0 0 0 0 0 0 0 0 English,NA 29 Working class
362 listener 4 1 female female 3 2 2 8 Finance Blue Yeti USB Mic Sennheiser HD 650 1 5 1 3.0 2.6 2.80 3.3 3.1 3.20 4.2 3.6 3.90 3.6 3.3 3.45 3.7 4.0 3.85 15 1 0 0 0 0 0 0 0 0 English,NA 48 Middle class
363 listener 4 1 female female 3 1 3 6 retail laptop microphone techtronic bluetooth headphones 0 3 1 3.9 3.9 3.90 3.4 3.9 3.65 2.8 4.1 3.45 3.0 2.3 2.65 2.4 3.3 2.85 10 1 0 0 0 0 0 0 0 0 English,NA 54 Middle class
365 listener 4 1 female female 3 2 3 5 Underwriting Technician/Agent Licensing Assistant Desktop microphone headphones 1 4 1 1.5 1.6 1.55 5.0 4.9 4.95 4.9 4.2 4.55 4.5 3.8 4.15 5.0 4.8 4.90 10 1 0 0 0 0 0 0 0 0 English,NA 61 Middle class
367 listener 4 1 female female 4 1 2 4 RBT laptop microphone on mac Laptop speaker 1 3 1 3.1 3.4 3.25 3.1 3.4 3.25 3.2 2.9 3.05 3.2 3.5 3.35 3.1 3.6 3.35 28 1 0 0 0 0 0 0 0 0 english,NA 20 Working class
370 listener 4 1 male male 5 2 1 4 Cook laptop laptop 1 4 1 1.9 1.8 1.85 4.1 4.5 4.30 4.3 3.8 4.05 3.7 4.0 3.85 4.7 3.7 4.20 4 0 0 1 0 0 0 0 0 0 English,NA 42 Lower class
371 listener 4 1 female female 4 1 2 3 Nanny - right now unemployed due to covid Black Nubwo headset microphone Samsung Headphones 1 4 1 2.9 2.8 2.85 4.0 3.6 3.80 3.7 3.8 3.75 4.1 3.7 3.90 3.9 4.3 4.10 9 1 0 0 0 0 0 0 0 0 English,NA 36 Working class
374 listener 4 1 female female 3 2 3 4 executive assistant laptop mic laptop speaker 1 5 1 1.8 1.3 1.55 3.9 4.0 3.95 4.9 4.2 4.55 4.1 4.0 4.05 4.2 3.9 4.05 4 0 0 1 0 0 0 0 0 0 english,NA 35 Middle class
375 listener 4 1 female female 3 2 2 7 Manager Boat microphone on headset Laptop with boat headphones 1 5 1 1.8 1.7 1.75 3.6 3.6 3.60 4.5 3.9 4.20 4.2 4.1 4.15 4.2 4.9 4.55 5 1 0 0 0 0 0 0 0 0 English,NA 34 Middle class
376 listener 4 1 male male 3 2 2 7 Self employer laptop microphone lg ultra hd speaker 1 5 1 2.1 1.6 1.85 3.3 3.7 3.50 3.1 2.3 2.70 3.9 3.6 3.75 4.5 3.4 3.95 33 1 0 0 0 0 0 0 0 0 English,Russian 26 Middle class
377 listener 4 2 female female 4 2 1 8 Unemployed Hp laptop microphone hp laptop speaker 1 3 1 3.7 1.9 2.80 3.1 4.1 3.60 3.0 3.7 3.35 2.1 2.3 2.20 3.3 3.9 3.60 18 0 0 1 0 0 0 0 0 0 English,NA 26 Working class
378 listener 4 2 female female 3 3 3 7 Project Accountant Laptop Laptop 1 4 1 2.4 2.2 2.30 4.0 4.0 4.00 4.1 4.2 4.15 3.0 3.4 3.20 4.2 3.8 4.00 7 0 1 0 0 0 0 0 0 0 English,NA 28 Middle class
379 listener 4 1 female female 3 3 3 7 Supervisor Behringer BB microphone Sony Headphone 1 4 1 3.1 2.4 2.75 4.0 2.7 3.35 4.2 4.4 4.30 4.0 4.0 4.00 4.0 3.8 3.90 24 1 0 0 0 0 0 0 0 0 English,French 34 Middle class
380 speaker 4 1 male male 3 1 3 7 Science Teacher Samsung Note 10+ 5G using Bose Noise Cancelling Wireless Bluetooth Headphones 700 Samsung Note 10+ 5G using Bose Noise Cancelling Wireless Bluetooth Headphones 700 1 5 1 1.5 1.4 1.45 4.8 3.9 4.35 3.8 3.2 3.50 4.0 4.4 4.20 4.9 4.4 4.65 1 1 0 0 0 0 0 0 0 0 English,NA 35 Middle class
381 listener 4 2 male male 4 1 1 7 store manager Asus laptop microphone JVC HAS160B headphones 1 3 1 2.0 2.0 2.00 2.7 3.4 3.05 3.1 3.0 3.05 2.3 2.1 2.20 3.5 3.8 3.65 0 1 0 0 0 0 0 0 0 0 English,NA 52 Working class
382 listener 4 1 male male 2 1 1 7 Manager Mpow HC6 USB Headset with Microphone Mpow HC6 USB Headset with Microphone 1 4 1 2.1 3.9 3.00 3.7 2.7 3.20 2.7 2.6 2.65 3.1 4.0 3.55 4.0 3.5 3.75 4 1 0 0 0 0 0 0 0 0 English,NA 48 Upper-middle class
384 listener 4 2 male male 4 2 3 5 Information Technology RealTek high definition audio laptop microphone Beats solo3 headphones 1 4 1 2.1 1.9 2.00 4.0 4.3 4.15 4.1 4.1 4.10 3.6 3.6 3.60 3.9 4.0 3.95 3 0 1 0 0 0 0 0 0 0 English,Spanish 39 Working class
385 listener 3 1 female female 3 3 3 8 Homemaker microphone om headset Jabra headphone 1 5 1 1.7 2.1 1.90 3.7 4.0 3.85 4.5 3.6 4.05 4.0 3.6 3.80 3.4 4.0 3.70 0 0 0 0 1 0 0 0 0 0 Hindi,English 40 Middle class
387 listener 4 1 male male 3 1 1 5 Warehouse manager Tozo usb mic Tovo headphones 1 4 1 2.0 2.1 2.05 4.6 3.4 4.00 3.5 2.8 3.15 3.9 4.1 4.00 2.9 2.9 2.90 4 1 0 0 0 0 0 0 0 0 english,NA 51 Middle class
388 listener 4 1 female female 2 3 3 4 Student Laptop Microphone Laptop Speaker 1 4 1 2.2 1.0 1.60 4.8 4.9 4.85 4.1 3.7 3.90 3.9 3.6 3.75 4.7 5.0 4.85 24 1 0 0 0 0 0 0 0 0 English,NA 19 Upper-middle class
389 listener 4 1 male male 2 3 3 7 Software Engineer Apple AirPods Apple AirPods 1 4 1 2.0 1.5 1.75 3.4 4.5 3.95 4.6 4.2 4.40 2.9 3.2 3.05 4.7 3.8 4.25 2 1 0 0 0 0 0 0 0 0 English,NA 38 Upper-middle class
390 listener 4 1 female female 3 2 3 7 Supervisor laptop microphone laptop speaker 1 4 1 1.9 1.7 1.80 4.6 3.7 4.15 4.2 4.2 4.20 4.3 3.7 4.00 4.6 4.7 4.65 1 0 0 1 0 0 0 0 0 0 English,NA 57 Middle class
391 listener 4 1 female female 2 2 2 8 Applied learning assistant laptop laptop 1 4 1 2.5 2.4 2.45 4.0 4.0 4.00 4.3 4.1 4.20 4.2 4.0 4.10 4.5 4.0 4.25 2 1 0 0 0 0 0 0 0 0 English,French - Arabic 25 Upper-middle class
392 listener 4 1 female female 2 2 2 7 Manager microphone on headset headphones 1 4 1 2.1 2.6 2.35 3.3 3.1 3.20 3.4 3.0 3.20 3.5 3.3 3.40 4.0 3.9 3.95 19 1 0 0 0 0 0 0 0 0 English,NA 61 Upper-middle class
395 listener 4 1 female female 3 2 2 3 Data Entry Desktop Imac Laptop speakers Imac 1 5 1 2.3 2.1 2.20 3.7 3.8 3.75 3.8 3.6 3.70 3.5 3.5 3.50 3.8 3.4 3.60 0 0 0 0 0 0 0 0 1 0 English,NA 25 Middle class
398 listener 4 2 female female 3 3 1 9 biological sciences Macbook Air internal mic Macbook Air speakers 1 4 1 3.3 1.8 2.55 4.8 4.3 4.55 1.6 2.3 1.95 3.4 2.5 2.95 4.5 3.7 4.10 40 1 0 0 0 0 0 0 0 0 English,NA 50 Middle class
399 listener 4 1 female female 4 3 3 5 Student laptop microphone Speaker (Realtek (R) Audio) 1 4 1 3.2 3.0 3.10 4.7 4.4 4.55 3.1 3.8 3.45 3.0 2.7 2.85 3.7 3.9 3.80 2 1 0 0 0 0 0 0 0 0 English,NA 37 Working class
400 listener 4 1 male male 2 2 2 7 Manager headphone microphone headphone 1 5 1 2.7 2.9 2.80 3.2 2.9 3.05 3.8 3.2 3.50 3.5 3.8 3.65 4.3 3.8 4.05 28 1 0 0 0 0 0 0 0 0 English,NA 55 Upper-middle class
401 listener 4 1 female female 3 3 2 7 Manager Laptop Laptop speaker 1 5 1 2.7 3.0 2.85 3.4 3.7 3.55 4.3 3.9 4.10 3.0 4.0 3.50 3.5 3.4 3.45 15 0 0 0 0 1 0 0 0 0 English,NA 36 Middle class
402 listener 4 1 female female 5 1 1 7 Student computer headphones 1 4 1 3.1 2.8 2.95 3.6 3.4 3.50 3.8 3.7 3.75 3.4 3.7 3.55 3.5 3.4 3.45 30 1 0 0 0 0 0 0 0 0 english,English, Spanish 62 Lower class
403 listener 4 3 female female 3 3 1 5 Business owner Microphone on headset Headphones turtle bay 1 5 1 1.5 1.9 1.70 4.5 4.3 4.40 4.9 4.1 4.50 3.9 3.5 3.70 4.0 3.8 3.90 4 1 0 0 0 0 0 0 0 0 English,NA 44 Middle class
404 listener 4 1 male male 4 2 2 7 Electrical Engineer Laptop microphone headphones 1 5 1 1.9 2.8 2.35 4.2 4.0 4.10 4.5 4.2 4.35 2.9 3.3 3.10 3.9 3.1 3.50 4 0 0 1 0 0 0 0 0 0 English,NA 38 Working class
405 listener 4 2 female female 3 2 2 7 Operations Manager Laptop microphone built-in Mpow D9 inner ear bluetooth headphones 1 3 1 3.0 2.9 2.95 4.6 4.2 4.40 2.9 2.5 2.70 3.4 3.1 3.25 4.1 4.0 4.05 17 0 0 0 1 0 0 0 0 0 English,NA 34 Middle class
407 listener 4 1 male male 5 2 2 3 Musician Samson S1 microphone into recording interface with desktop pc Skullcandy Hesh over the ear wired headphones 1 4 1 3.9 3.4 3.65 4.5 4.5 4.50 4.3 4.5 4.40 3.8 3.2 3.50 4.7 4.5 4.60 37 1 0 0 0 0 0 0 0 0 English,NA 44 Lower class
408 listener 4 1 male male 4 2 2 2 Freelance writer and editor Windows Phone voice recorder JBL T460BT Wireless Bluetooth Headphones 1 3 1 3.1 3.3 3.20 4.5 4.0 4.25 3.7 3.6 3.65 2.8 3.9 3.35 3.5 4.2 3.85 13 0 0 1 0 0 0 0 0 0 English,NA 36 Working class
410 listener 4 1 female female 3 3 3 8 military microphone on headset mpow m9 headset mpow m9 1 4 1 2.0 2.0 2.00 3.4 3.8 3.60 3.7 3.8 3.75 2.6 2.9 2.75 3.6 3.7 3.65 3 0 1 0 0 0 0 0 0 0 English,NA 38 Middle class
411 listener 4 1 female female 3 3 3 4 Unemployed Jaybird x4 microphone Jaybird x4 1 4 1 3.1 2.2 2.65 4.0 4.7 4.35 2.1 2.9 2.50 3.0 1.5 2.25 3.1 4.4 3.75 36 0 0 1 0 0 0 0 0 0 English,NA 34 Middle class
412 listener 4 1 female female 3 3 3 7 IT Tech Support Specialist Team Manager laptop microphone Skull Candy earbuds 1 4 1 3.1 2.8 2.95 4.6 4.1 4.35 2.3 3.4 2.85 3.1 3.2 3.15 4.5 4.7 4.60 14 1 0 0 0 0 0 0 0 0 English,Latin 25 Middle class
413 listener 4 3 female female 4 3 2 8 therapist laptop microphone laptop speaker 1 3 1 3.4 3.2 3.30 4.0 4.0 4.00 2.6 2.8 2.70 3.4 2.4 2.90 3.6 4.1 3.85 12 1 0 0 0 0 0 0 0 0 English,NA 28 Working class
414 listener 4 1 male male 4 3 3 5 Retail Webcam Microphone Headphones Beats 1 3 1 2.8 1.3 2.05 3.3 4.4 3.85 2.5 2.6 2.55 2.0 2.9 2.45 4.3 4.1 4.20 18 0 1 0 0 0 0 0 0 0 English,NA 28 Working class
416 listener 4 1 female female 3 1 3 8 Teacher JLab microphone on headset JLab headphones 1 5 1 2.5 2.5 2.50 3.9 4.3 4.10 2.6 2.9 2.75 3.3 2.1 2.70 2.7 2.9 2.80 10 0 0 1 0 0 0 0 0 0 English,NA 40 Middle class
417 listener 4 1 male male 3 5 5 10 R&D laptop microphone over the ear headphones 0 4 1 2.7 2.4 2.55 3.7 3.7 3.70 3.5 3.4 3.45 3.3 3.3 3.30 3.3 3.5 3.40 0 1 0 0 0 0 0 0 0 0 English,NA 36 Middle class
421 listener 4 1 male male 5 1 1 2 Customer Service Laptop, Phone Laptop 1 3 1 2.8 2.3 2.55 4.7 4.0 4.35 4.2 3.9 4.05 3.6 4.1 3.85 4.3 4.5 4.40 20 1 0 0 0 0 0 0 0 0 English,NA 34 Lower class
422 listener 4 1 female female 4 2 2 3 customer service headset with microphone headphones 1 5 1 2.2 2.0 2.10 4.4 4.7 4.55 3.8 3.9 3.85 3.6 3.0 3.30 4.0 4.5 4.25 8 1 0 0 0 0 0 0 0 0 english,NA 30 Working class
424 listener 4 1 female female 4 1 2 3 Unemployed due to covid Black Nubwo headset microphone Samsung Headphones 1 3 1 3.3 3.0 3.15 4.0 4.0 4.00 3.6 3.7 3.65 4.0 3.7 3.85 4.0 4.2 4.10 21 1 0 0 0 0 0 0 0 0 English,NA 36 Working class
425 listener 3 1 female female 3 1 1 8 Teacher laptop microphone laptop speakers 1 5 1 1.8 1.8 1.80 3.6 4.2 3.90 4.5 4.9 4.70 2.5 4.1 3.30 4.4 3.0 3.70 0 1 0 0 0 0 0 0 0 0 English,NA 37 Middle class
427 listener 3 1 male male 4 3 2 7 Research Technologist Apple earphone Microphone Apple earphones 1 3 1 4.0 2.9 3.45 4.2 4.6 4.40 3.1 3.4 3.25 3.4 2.5 2.95 3.3 3.0 3.15 48 0 0 0 1 0 0 0 0 0 English,Urdu, Spanish 23 Working class
429 listener 4 1 male male 2 2 2 2 Plumber Laptop Laptop 1 5 1 2.9 2.7 2.80 3.3 2.6 2.95 3.5 3.4 3.45 3.3 3.1 3.20 3.8 3.3 3.55 37 1 0 0 0 0 0 0 0 0 English,None 37 Upper-middle class
433 listener 3 1 female female 3 2 2 5 medical assisstant laptop microphone laptop speaker 1 5 1 2.7 3.8 3.25 3.9 4.1 4.00 3.8 2.9 3.35 4.0 3.7 3.85 3.9 3.6 3.75 2 1 0 0 0 0 0 0 0 0 english,arabic 28 Middle class
435 listener 4 1 female female 4 3 3 5 home maker Macbook Pro microphone Macbook Pro speaker 0 4 1 2.0 3.3 2.65 4.8 4.4 4.60 4.1 4.0 4.05 4.2 3.8 4.00 4.6 4.2 4.40 1 1 0 0 0 0 0 0 0 0 English,NA 38 Working class
436 listener 4 1 female female 2 3 3 4 Student Razer headset microphone Razer headset 1 4 1 3.8 2.2 3.00 4.1 3.5 3.80 2.5 3.8 3.15 3.0 3.5 3.25 4.4 4.7 4.55 53 0 0 0 0 1 0 0 0 0 English,NA 23 Upper-middle class
437 listener 4 1 female female 5 3 3 3 Homemaker Realtek HD Microphone (Razer laptop) Realtek HD Speakers (Razer laptop) 1 3 1 2.3 3.4 2.85 2.4 3.9 3.15 2.2 3.2 2.70 3.2 2.8 3.00 2.3 2.3 2.30 37 1 0 0 0 0 0 0 0 0 English,NA 24 Lower class
439 listener 3 4 male male 3 2 2 7 teaching microphone laptop 1 5 1 3.2 3.1 3.15 3.1 2.8 2.95 2.9 3.1 3.00 2.9 2.9 2.90 3.1 3.2 3.15 26 1 0 0 0 0 0 0 0 0 english,english 36 Middle class
441 listener 4 1 female female 4 1 1 7 caregiver HX headset HX headset 1 4 1 2.9 1.6 2.25 4.5 4.8 4.65 3.9 4.5 4.20 4.1 3.7 3.90 4.1 4.4 4.25 19 1 0 0 0 0 0 0 0 0 english,NA 51 Working class
442 listener 4 1 female female 4 2 1 8 Help Desk Analyst laptop microphone laptop speaker, Sony headphones 1 5 1 2.2 2.0 2.10 3.9 4.4 4.15 3.8 3.0 3.40 3.8 3.6 3.70 4.0 4.0 4.00 1 1 0 0 0 0 0 0 0 0 English,NA 67 Working class
443 listener 4 1 female female 4 2 2 7 amazon prime flex worker laptop microphone sony headphones 1 3 1 2.9 1.9 2.40 2.8 3.6 3.20 3.5 3.3 3.40 3.1 2.5 2.80 2.7 3.1 2.90 9 0 0 1 0 0 0 0 0 0 english,NA 35 Working class
445 listener 4 2 female nonbinary 3 1 1 4 Unemployed ASUS laptop microphone apple earbuds 1 4 1 4.6 4.8 4.70 4.6 3.9 4.25 1.9 3.5 2.70 4.1 2.2 3.15 3.3 4.8 4.05 49 1 0 0 0 0 0 0 0 0 English,NA 24 Middle class
446 listener 4 2 female female 3 3 1 5 Nurse headset KOSS CS-95 headphones 1 3 1 2.5 2.6 2.55 4.1 3.9 4.00 3.8 4.2 4.00 3.0 3.5 3.25 3.8 3.8 3.80 10 1 0 0 0 0 0 0 0 0 English,NA 48 Middle class
447 listener 4 1 female female 3 1 3 7 analyst latop laptop 0 5 1 3.3 3.6 3.45 2.4 4.5 3.45 3.4 4.5 3.95 2.7 4.3 3.50 3.5 3.9 3.70 30 1 0 0 0 0 0 0 0 0 english,NA 32 Middle class
448 listener 4 1 female female 2 3 3 7 physical therapist assistant HP notebook microphone HP notebook speakers 1 4 1 1.8 3.1 2.45 3.7 3.2 3.45 4.1 4.7 4.40 2.4 4.5 3.45 4.3 3.1 3.70 18 1 0 0 0 0 0 0 0 0 English,NA 48 Upper-middle class
449 listener 4 1 female female 3 3 3 4 Disabled Desktop microphone Desktop speaker 1 5 1 3.5 3.5 3.50 4.7 4.8 4.75 3.8 4.0 3.90 3.4 2.8 3.10 2.8 3.7 3.25 2 1 0 0 0 0 0 0 0 0 English,NA 55 Middle class
451 listener 4 1 female female 3 3 3 4 homemaker laptop microphone or headset laptop speakers or headphones if available 1 5 1 2.8 2.7 2.75 4.1 4.4 4.25 3.1 3.6 3.35 4.5 3.3 3.90 3.4 3.2 3.30 7 1 0 0 0 0 0 0 0 0 english,NA 40 Middle class
452 listener 4 2 female female 4 2 1 4 csr mpow USB headset mpow USB headset 1 5 1 3.0 1.2 2.10 4.5 4.6 4.55 3.5 4.2 3.85 3.7 2.9 3.30 3.5 4.3 3.90 7 1 0 0 0 0 0 0 0 0 english,n/a 42 Working class
453 listener 4 2 male male 4 1 2 4 finance laptop microphone laptop headphones 1 4 1 2.3 2.8 2.55 2.6 2.7 2.65 3.1 3.6 3.35 2.8 3.2 3.00 3.7 2.8 3.25 4 0 0 0 0 0 1 0 0 0 english,NA 52 Working class
454 listener 4 1 female female 3 3 1 3 Self-employed Laptop microphone Laptop speaker 1 4 1 3.9 3.7 3.80 4.6 3.5 4.05 3.3 4.3 3.80 3.8 2.7 3.25 3.3 4.5 3.90 6 1 0 0 0 0 0 0 0 0 English,NA 21 Middle class
456 listener 4 1 female female 4 2 3 4 student Microphone on headphones headphones 1 3 1 3.9 2.9 3.40 4.8 4.9 4.85 2.9 3.7 3.30 3.1 3.0 3.05 4.0 5.0 4.50 64 0 0 1 0 0 0 0 0 0 English,NA 21 Working class
459 listener 4 1 female female 4 3 2 5 Information Systems Technology Alcatel Android phone microphone Generic earbuds (unknown brand) 1 4 1 3.4 2.1 2.75 4.9 4.5 4.70 3.6 3.9 3.75 3.5 3.3 3.40 3.8 4.3 4.05 8 1 0 0 0 0 0 0 0 0 English,German, Italian 49 Working class
461 listener 4 1 female female 4 2 1 3 Stay at hom latop microphone neadphones, or a laptop speaker (the laptop is HP Realtek) 1 4 1 3.8 3.7 3.75 4.2 4.5 4.35 2.9 3.5 3.20 3.2 2.9 3.05 3.6 4.2 3.90 20 1 0 0 0 0 0 0 0 0 English,NA 21 Working class
463 listener 4 2 female female 4 2 3 4 Homemaker microphone in headset Bluetooth headphones 1 3 1 3.4 3.7 3.55 4.6 3.2 3.90 3.0 3.3 3.15 2.9 4.1 3.50 3.7 4.4 4.05 16 0 0 1 0 0 0 0 0 0 English,NA 27 Working class
467 listener 4 2 male male 4 1 1 7 unemployed Toshiba laptop microphone Sony headphones 1 4 1 3.6 2.5 3.05 4.1 4.5 4.30 2.9 3.0 2.95 3.6 2.7 3.15 4.0 4.5 4.25 5 1 0 0 0 0 0 0 0 0 english,NA 46 Working class
469 listener 4 2 female female 3 3 3 7 Self Employed I’m a listener… pc speakers 0 3 1 2.7 3.6 3.15 3.9 3.6 3.75 3.7 3.7 3.70 3.0 2.2 2.60 3.3 3.7 3.50 4 1 0 0 0 0 0 0 0 0 English,NA 32 Middle class
470 listener 4 1 male male 3 3 3 4 Network engineer Laptop microphone Laptop speaker 1 4 1 1.9 1.6 1.75 3.8 4.3 4.05 4.4 3.8 4.10 3.8 3.6 3.70 4.2 3.8 4.00 7 0 0 1 0 0 0 0 0 0 English,French 36 Middle class
472 speaker 4 2 female female 3 3 3 7 project manager computer computer 1 3 1 3.7 4.3 4.00 2.6 2.2 2.40 3.1 3.3 3.20 2.9 3.3 3.10 3.7 3.8 3.75 6 1 0 0 0 0 0 0 0 0 english,NA 37 Middle class
476 listener 4 1 male male 2 4 3 8 atmospheric scientist headset microphone headset earbuds via laptop 1 4 1 2.1 2.0 2.05 4.1 4.6 4.35 4.6 4.2 4.40 2.8 2.3 2.55 4.7 3.1 3.90 1 1 0 0 0 0 0 0 0 0 english,NA 54 Upper-middle class
479 listener 4 1 female female 4 3 3 6 homemaker laptop samsung buds+ 1 4 1 3.2 3.6 3.40 4.3 3.4 3.85 2.8 3.5 3.15 3.5 3.5 3.50 4.2 4.9 4.55 9 0 0 1 0 0 0 0 0 0 english,NA 36 Working class
480 listener 4 1 male male 4 2 2 7 Engineer Dell Vostro 14 laptop microphone Dell Vostro 14 laptop speaker 1 4 1 2.4 1.9 2.15 3.8 4.2 4.00 3.2 3.3 3.25 4.4 3.2 3.80 3.7 3.8 3.75 3 0 1 0 0 0 0 0 0 0 English,Spanish, Portuguese 28 Working class
482 listener 4 1 female female 4 3 3 7 Office Specialist Laptop microphone Laptop Speakers (RealTek High Defnition Audio) 1 3 1 4.7 4.0 4.35 4.6 4.5 4.55 2.3 3.6 2.95 4.3 2.0 3.15 3.4 4.8 4.10 45 0 1 0 0 0 0 0 0 0 English,Spanish 30 Working class
483 listener 4 2 female female 3 2 2 8 Executive Coordinator in Local Government Agency laptop laptop speaker 1 4 1 2.9 2.8 2.85 4.1 4.1 4.10 3.6 3.6 3.60 3.5 3.5 3.50 3.8 3.8 3.80 19 0 0 1 0 0 0 0 0 0 English,NA 36 Middle class
485 listener 4 1 female female 3 3 3 4 Mindset Coach nothing laptop speaker 1 4 1 2.7 2.8 2.75 3.9 3.7 3.80 2.9 3.5 3.20 3.1 2.9 3.00 3.3 3.3 3.30 1 1 0 0 0 0 0 0 0 0 English,NA 41 Middle class
487 listener 4 2 male male 3 3 3 7 IT desktop desktop speakers 0 4 1 2.1 2.0 2.05 2.2 3.3 2.75 3.3 3.1 3.20 2.4 2.2 2.30 3.5 3.2 3.35 0 1 0 0 0 0 0 0 0 0 english,NA 50 Middle class
489 listener 4 3 male male 4 6 2 5 private security laptop microphone laptop speaker, headphones 1 3 1 2.8 2.7 2.75 3.6 4.3 3.95 4.2 3.9 4.05 2.9 2.9 2.90 3.8 3.5 3.65 9 1 0 0 0 0 0 0 0 0 english,spanish 40 Working class
490 listener 4 2 male male 3 2 2 7 Engineer, retired microphone on headset, earbuds generic earbud headset, generic 0 3 1 2.1 1.7 1.90 3.6 3.8 3.70 4.1 3.8 3.95 2.8 3.2 3.00 4.0 3.8 3.90 2 1 0 0 0 0 0 0 0 0 English,NA 58 Middle class
492 listener 4 2 female female 3 3 2 7 Digital Marketing Laptop connected via Bluetooth to AirPods MacBook Pro laptop speaker 1 3 1 3.5 1.8 2.65 4.5 4.6 4.55 2.8 4.0 3.40 3.3 3.2 3.25 4.6 4.2 4.40 19 1 0 0 0 0 0 0 0 0 English,NA 37 Middle class
494 listener 4 2 female female 3 3 3 8 Occupational Therapist Laptop Laptop 1 5 1 2.5 1.9 2.20 4.3 4.4 4.35 4.0 3.5 3.75 3.8 3.1 3.45 3.8 3.4 3.60 3 1 0 0 0 0 0 0 0 0 English,NA 37 Middle class
495 listener 4 1 female female 3 1 1 7 vet-tech Macbook laptop microphone bose headphones 1 4 1 2.6 2.0 2.30 3.7 4.3 4.00 3.1 3.8 3.45 2.7 3.3 3.00 3.5 3.3 3.40 26 1 0 0 0 0 0 0 0 0 english,NA 36 Middle class
496 listener 4 1 female female 3 1 1 3 receptionist Laptop microphone Laptop speaker 1 5 1 2.6 3.1 2.85 3.7 4.1 3.90 3.8 4.2 4.00 2.8 3.1 2.95 3.9 4.1 4.00 8 1 0 0 0 0 0 0 0 0 English,None 40 Middle class
497 listener 4 1 female female 4 3 3 8 accounting tech microphone on headset headphones 1 3 1 3.7 3.5 3.60 3.7 4.2 3.95 3.5 3.2 3.35 3.2 2.5 2.85 3.8 4.1 3.95 17 1 0 0 0 0 0 0 0 0 English,NA 31 Working class
501 listener 4 2 female female 2 3 1 8 retired social worker Cyber Acoustics AC-4006 USB headset with microphone Cyber Acoustics AC-4006 USB headset 1 4 1 2.7 3.1 2.90 4.4 4.1 4.25 3.4 2.8 3.10 3.9 3.9 3.90 4.0 3.6 3.80 6 1 0 0 0 0 0 0 0 0 English,NA 68 Upper-middle class
502 listener 4 5 female female 3 3 1 3 Unemployed laptop microphone laptop speaker 1 3 1 4.3 4.0 4.15 4.0 2.9 3.45 2.5 3.2 2.85 3.1 2.8 2.95 3.4 3.4 3.40 18 1 0 0 0 0 0 0 0 0 English,NA 28 Middle class
504 listener 4 2 female female 3 3 2 7 Legal laptop laptop 0 4 1 2.2 2.2 2.20 4.7 4.0 4.35 3.5 3.2 3.35 3.7 3.5 3.60 4.0 4.0 4.00 4 1 0 0 0 0 0 0 0 0 English,NA 39 Middle class
505 listener 4 1 female female 3 3 3 8 teacher laptop microphone laptop speaker 1 4 1 2.6 3.0 2.80 4.0 4.1 4.05 4.4 3.8 4.10 3.3 2.7 3.00 2.9 3.1 3.00 2 1 0 0 0 0 0 0 0 0 English,NA 32 Middle class
507 listener 4 1 female female 3 2 2 5 Student Laptop Laptop 0 5 1 1.0 1.0 1.00 4.1 4.7 4.40 5.0 3.4 4.20 4.4 3.3 3.85 5.0 3.8 4.40 0 0 1 0 0 0 0 0 0 0 English,Spanish 22 Middle class
509 listener 4 1 male agender 4 3 2 4 self-employed generic usb microphone koss headphones 1 3 1 3.9 3.8 3.85 3.2 4.3 3.75 2.6 3.0 2.80 2.4 1.7 2.05 3.3 3.7 3.50 38 1 0 0 0 0 0 0 0 0 english,NA 42 Working class
510 listener 4 1 male nonbinary 2 3 3 3 College student MacBook Air microphone JLab Go Air earbuds 1 3 1 4.8 3.8 4.30 5.0 4.5 4.75 2.9 4.0 3.45 4.4 2.1 3.25 4.7 4.7 4.70 62 1 0 0 0 0 0 0 0 0 English,NA 21 Upper-middle class
511 listener 4 2 male male 5 1 1 6 Digital Artist Samson USB C01U Microphone Sennheiser HD 598 1 3 1 2.1 2.7 2.40 3.6 3.9 3.75 3.1 2.9 3.00 3.0 2.6 2.80 4.6 4.4 4.50 7 0 0 0 0 1 0 0 0 0 English,NA 45 Lower class
512 listener 4 1 female female 3 3 2 4 assembler laptop microphone laptop speaker 1 4 1 4.0 4.1 4.05 4.6 4.6 4.60 3.5 4.5 4.00 3.1 2.9 3.00 3.7 4.4 4.05 8 1 0 0 0 0 0 0 0 0 english,NA 33 Middle class
513 listener 4 2 male male 3 1 3 7 Computer sales and repair microphone on Turtle Beach headset laptop speaker 1 4 1 3.1 2.4 2.75 3.8 3.3 3.55 3.2 3.6 3.40 3.9 4.0 3.95 4.0 3.9 3.95 29 1 0 0 0 0 0 0 0 0 Englisj,NA 42 Middle class
514 speaker 4 3 male male 2 3 3 7 Public Relations laptop microphone or headset. Could use a Bluetooth headset (Plantronics) Ummm…laptop speakers. I have a Dell. Can also use Bluetooth headset (Plantronics) 1 5 1 2.9 3.1 3.00 5.0 4.4 4.70 3.7 4.1 3.90 2.9 3.3 3.10 3.4 3.9 3.65 2 1 0 0 0 0 0 0 0 0 English,NA 62 Upper-middle class
516 listener 4 2 male male 3 3 3 4 military mircophone headset headset 1 3 1 3.4 3.6 3.50 3.8 3.8 3.80 3.2 4.5 3.85 2.3 2.1 2.20 3.1 4.1 3.60 26 0 1 0 0 0 0 0 0 0 english,none 40 Middle class
517 speaker 4 1 female female 3 3 2 8 None Laptop microphone Laptop Speaker 1 4 1 3.4 3.2 3.30 3.5 4.2 3.85 3.6 3.8 3.70 3.2 3.4 3.30 3.6 4.4 4.00 13 1 0 0 0 0 0 0 0 0 English,NA 33 Middle class
518 listener 4 1 female female 3 2 3 9 government official internal microphone laptop speaker 1 4 1 3.4 3.4 3.40 4.2 4.0 4.10 2.8 3.5 3.15 4.0 2.8 3.40 3.3 3.4 3.35 13 1 0 0 0 0 0 0 0 0 English,Spanish 30 Middle class
519 speaker 4 2 female female 3 3 3 8 Psych therapist Android cell Android cell 1 2 1 2.8 2.7 2.75 4.7 4.5 4.60 4.2 3.5 3.85 4.4 4.2 4.30 3.6 3.6 3.60 28 1 0 0 0 0 0 0 0 0 English,NA 58 Middle class
520 listener 4 1 female female 3 3 3 7 RN Laptop microphone Laptop speaker 1 4 1 2.8 2.2 2.50 4.7 4.8 4.75 3.7 3.9 3.80 4.3 3.6 3.95 3.8 3.8 3.80 3 1 0 0 0 0 0 0 0 0 English,NA 28 Middle class
521 listener 4 2 female female 4 2 1 6 Self- Employed laptop micro phone Panasonic earbuds 0 3 1 3.1 2.8 2.95 4.2 3.8 4.00 3.2 3.2 3.20 3.5 3.2 3.35 3.3 4.3 3.80 6 1 0 0 0 0 0 0 0 0 English,NA 33 Working class
522 listener 4 1 male male 5 2 2 3 None. Snowball Microphone(USB). Speakers on TV(monitor), or headphones. 1 3 1 1.5 1.5 1.50 3.9 3.9 3.90 3.3 4.0 3.65 2.8 2.8 2.80 4.5 4.3 4.40 0 1 0 0 0 0 0 0 0 0 English,NA 42 Lower class
523 speaker 4 1 female female 3 3 3 9 cantor laptop microphone laptop speaker, earphones 1 4 1 2.0 1.8 1.90 4.3 4.6 4.45 3.6 4.2 3.90 3.3 3.0 3.15 4.0 4.7 4.35 1 1 0 0 0 0 0 0 0 0 American English,NA 68 Middle class
524 listener 3 2 female female 2 2 2 4 Title Clerk laptop microphone laptop speaker 1 4 1 3.9 4.6 4.25 3.5 2.8 3.15 3.9 3.9 3.90 2.9 3.3 3.10 3.7 3.5 3.60 21 0 0 1 0 0 0 0 0 0 English,NA 33 Upper-middle class
525 listener 4 1 female female 4 1 1 7 Education/Training Consultant laptop microphone headphones 1 4 1 2.3 2.0 2.15 4.0 3.5 3.75 2.8 3.4 3.10 4.6 3.6 4.10 4.1 3.9 4.00 8 0 0 0 0 1 0 0 0 0 English,NA 48 Working class
530 listener 4 1 female female 4 3 3 4 Pharmacy Technician Toshiba laptop Toshiba laptop 0 3 1 3.7 3.5 3.60 4.3 3.8 4.05 3.4 4.6 4.00 3.8 2.8 3.30 3.5 4.6 4.05 9 0 0 1 0 0 0 0 0 0 English,NA 23 Working class
531 listener 4 1 female female 0 3 1 7 Self employed creative Mic on headset desktop speakers, jbl plus 1 3 1 3.6 2.6 3.10 3.8 4.3 4.05 3.0 3.1 3.05 3.7 3.1 3.40 3.5 4.5 4.00 36 0 0 0 0 0 0 0 1 0 English,NA 55 I don’t know
533 speaker 4 1 female female 3 3 5 4 Realtor Airpods AirPods 1 4 1 2.2 1.8 2.00 4.3 4.2 4.25 2.7 3.2 2.95 4.2 4.6 4.40 4.3 3.8 4.05 34 1 0 0 0 0 0 0 0 0 English,NA 29 Middle class
535 listener 4 2 female female 3 3 1 7 RN HEADPHONE PLUGGED INTO laptop laptop speakers 1 4 1 2.8 2.5 2.65 3.7 4.3 4.00 3.2 3.6 3.40 3.8 3.6 3.70 3.5 4.0 3.75 4 0 1 0 0 0 0 0 0 0 ehglish,NA 52 Middle class
537 listener 4 1 male male 3 3 3 7 Financial Advisor laptop microphone laptop speaker 1 4 1 2.5 2.0 2.25 3.9 3.4 3.65 3.6 3.3 3.45 4.0 3.7 3.85 4.0 3.6 3.80 9 1 0 0 0 0 0 0 0 0 English,Spanish 29 Middle class
538 listener 3 2 female female 4 3 3 4 Warehouse Associate Laptop microphone AirPods 1 1 1 3.7 3.8 3.75 4.0 3.7 3.85 2.4 3.3 2.85 3.7 3.7 3.70 3.7 4.0 3.85 24 1 0 0 0 0 0 0 0 0 English,NA 39 Working class
539 listener 4 1 female female 3 3 3 4 Homemaker Turtle Beach Streaming microphone JVC Headphones 1 4 1 3.5 3.9 3.70 4.2 3.5 3.85 2.5 1.9 2.20 2.7 3.2 2.95 3.7 3.5 3.60 30 1 0 0 0 0 0 0 0 0 English,NA 46 Middle class
540 listener 4 3 female female 5 1 3 4 mTurk laptop microphone Realtek laptop speaker Realtek 1 2 1 4.6 4.6 4.60 3.4 2.5 2.95 2.6 3.2 2.90 2.9 3.1 3.00 3.5 3.5 3.50 43 1 0 0 0 0 0 0 0 0 English,NA 39 Lower class
541 listener 4 2 male male 3 3 3 7 Analyst Dell Inspiron laptop microphone JBL Everest 300 1 3 1 2.9 3.4 3.15 4.0 4.1 4.05 3.3 3.7 3.50 3.1 2.8 2.95 3.6 3.9 3.75 6 1 0 0 0 0 0 0 0 0 English,NA 49 Middle class
543 listener 4 1 male male 4 3 2 7 bartender HP Envy 360X laptop microphone HP Envy 360X laptop speakers 1 4 1 3.1 2.6 2.85 3.8 3.6 3.70 3.5 3.2 3.35 2.9 2.6 2.75 4.1 4.5 4.30 21 1 0 0 0 0 0 0 0 0 English,Spanish 47 Working class
544 listener 4 1 female female 3 3 3 4 clerical staff laptop microphone laptop speaker 0 4 1 2.6 2.5 2.55 3.8 3.8 3.80 3.5 3.5 3.50 2.9 3.0 2.95 3.7 4.0 3.85 6 0 0 1 0 0 0 0 0 0 English,NA 32 Middle class
546 listener 4 1 female female 4 2 2 5 service laptop microphone laptop speaker 1 3 1 2.6 2.3 2.45 3.7 4.2 3.95 3.5 3.4 3.45 3.0 3.1 3.05 3.8 4.0 3.90 0 0 0 1 0 0 0 0 0 0 English,NA 33 Working class
547 listener 4 2 male male 4 1 2 7 Engineer microphone on headset SkullCandy earphones 1 4 1 4.0 2.9 3.45 4.0 3.9 3.95 2.5 4.1 3.30 2.6 2.7 2.65 4.4 4.0 4.20 29 1 0 0 0 0 0 0 0 0 English,NA 30 Working class
549 listener 4 1 female female 4 2 2 3 Call Center Representative laptop in-ear headphone 1 4 1 2.9 2.3 2.60 3.3 4.1 3.70 3.8 4.1 3.95 2.3 3.9 3.10 3.8 3.8 3.80 14 1 0 0 0 0 0 0 0 0 english,NA 26 Working class
550 listener 3 2 female female 4 1 3 4 Supervisor Macbook Air Macbook Air 1 2 1 4.3 3.3 3.80 4.4 4.0 4.20 2.5 3.9 3.20 4.4 3.3 3.85 2.9 3.2 3.05 48 1 0 0 0 0 0 0 0 0 English,NA 32 Working class
552 listener 4 2 female female 3 3 3 4 student laptop microphone laptop speaker 1 3 1 3.7 3.2 3.45 3.6 3.5 3.55 2.6 3.7 3.15 3.3 2.9 3.10 3.0 3.4 3.20 0 0 0 0 1 0 0 0 0 0 english,NA 21 Middle class
553 listener 4 2 female female 4 3 3 7 HR Administration Laptop microphone Laptop speakers 1 4 1 3.1 2.8 2.95 4.8 4.5 4.65 4.0 3.8 3.90 4.5 3.4 3.95 4.5 4.4 4.45 34 0 0 0 1 0 0 0 0 0 English,NA 28 Working class
554 listener 4 1 female female 5 2 2 3 Not currently working. laptop microphone laptop speaker. 1 4 1 3.5 3.5 3.50 4.1 4.3 4.20 2.7 3.1 2.90 3.2 2.0 2.60 3.5 4.0 3.75 19 1 0 0 0 0 0 0 0 0 English.,NA 27 Lower class
555 listener 4 1 male male 3 2 3 7 Office assistant Dell laptop microphone. Dell monitor speakers. 1 2 1 2.4 1.6 2.00 1.2 3.8 2.50 2.7 2.9 2.80 1.1 1.0 1.05 2.2 3.1 2.65 15 0 0 0 1 0 0 0 0 0 English,NA 41 Middle class
558 listener 4 2 female female 3 2 3 8 Publishing n/a laptop speaker 0 3 1 3.6 3.3 3.45 3.9 4.7 4.30 3.4 4.0 3.70 3.3 2.5 2.90 3.4 4.6 4.00 15 1 0 0 0 0 0 0 0 0 English,NA 41 Middle class
563 listener 3 2 female female 4 2 2 4 pt time turk worker Blue yeti USb Mic laptop speaker 1 3 1 3.7 3.9 3.80 3.2 3.3 3.25 3.0 3.6 3.30 2.7 2.2 2.45 3.1 3.7 3.40 22 0 0 1 0 0 0 0 0 0 English,none 69 Working class
564 listener 4 2 female female 3 1 3 8 Tax Analyst microphone on samsung headset samsung headphones 1 4 1 3.1 2.5 2.80 4.5 4.4 4.45 3.0 3.1 3.05 3.1 2.9 3.00 4.2 4.1 4.15 9 1 0 0 0 0 0 0 0 0 English,NA 47 Middle class

Listeners’ Average Ratings Across All Speakers

paste("Below is a DF containing each listeners' average rating across the respective speakers they rated. It contains data for the", nrow(df_LRs), "participants who were lsiteners. Only the first 200 rows are shown below.")
## [1] "Below is a DF containing each listeners' average rating across the respective speakers they rated. It contains data for the 1174 participants who were lsiteners. Only the first 200 rows are shown below."
df_LRs %>% 
  head(200) %>%
  select(-ends_with(".conf")) %>% #confidence ratings not used in current analysis
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
listener_id n_ratings m_age sd_age m_withdrawn sd_withdrawn m_volatile sd_volatile m_neuroticism sd_neuroticism m_compassionate sd_compassionate m_polite sd_polite m_agreeableness sd_agreeableness m_industrious sd_industrious m_orderly sd_orderly m_conscientiousness sd_conscientiousness m_enthusiastic sd_enthusiastic m_assertive sd_assertive m_extraversion sd_extraversion m_intellectual sd_intellectual m_open sd_open m_openint sd_openint m_attractive m_gender m_ses m_sex sd_attractive sd_gender sd_ses sd_sex
356 74 3.729730 2.0956399 2.621622 1.1786073 2.824324 0.9702155 2.722973 0.7221633 3.040541 0.8980830 3.108108 0.8035464 3.074324 0.7055671 3.756757 0.7367238 3.837838 0.8762784 3.797297 0.6969548 2.743243 1.0211572 3.040541 1.1157550 2.891892 0.8245807 3.513514 0.7806433 2.797297 0.8755387 3.155405 0.6352956 58.39189 57.52703 2.9054054 1.635135 10.340528 31.29586 0.7433526 0.4846782
357 17 2.352941 0.9963167 1.823529 0.6359338 1.235294 0.5622957 1.529412 0.3737725 2.823529 0.3929526 2.941177 0.2425356 2.882353 0.2186187 2.882353 0.3321056 3.117647 0.7812132 3.000000 0.4677072 2.647059 0.9314757 2.705882 0.7717436 2.676471 0.8089572 3.176471 0.5285941 2.764706 0.7524470 2.970588 0.5144958 56.58824 54.00000 2.4705882 1.588235 8.054958 25.94224 0.7174301 0.5072997
358 74 2.391892 1.8492321 3.175676 1.3584652 1.891892 1.0799235 2.533784 0.4988417 2.243243 0.9905141 3.391892 1.3118800 2.817568 0.9600739 3.608108 1.0703676 3.243243 1.4879499 3.425676 0.9781252 2.297297 1.2898947 2.527027 1.4355847 2.412162 1.1508130 3.391892 1.1799416 2.094595 1.1124319 2.743243 0.7905401 69.59459 58.71622 2.9594595 1.635135 19.752523 31.32574 0.6711101 0.4846782
360 99 3.747475 2.2147162 2.222222 0.8275308 2.464647 0.7044050 2.343434 0.5375989 2.656566 0.5743073 2.707071 0.7178842 2.681818 0.5123702 2.696970 0.5431305 2.737374 0.6789226 2.717172 0.5109096 2.222222 0.6476891 2.343434 0.7974656 2.282828 0.5721496 2.838384 0.6807420 2.414141 0.5891901 2.626263 0.4862572 53.48485 58.66667 2.9090909 1.606061 11.956864 30.13135 0.8816833 0.4911083
362 24 3.625000 1.0134959 3.541667 1.0623668 3.041667 0.8586727 3.291667 0.6240935 3.208333 1.1787675 3.541667 1.0623668 3.375000 0.4720446 3.416667 1.0598058 3.500000 0.9780193 3.458333 0.6902531 3.666667 1.2038585 3.583333 1.1389036 3.625000 0.5160468 3.541667 1.0206207 3.375000 1.0959411 3.458333 0.5694518 81.08333 65.95833 3.0000000 1.625000 7.008794 36.30844 0.0000000 0.4945354
363 15 3.000000 1.5118579 1.266667 0.5936168 1.866667 0.9904304 1.566667 0.7037316 2.600000 0.7367884 3.133333 0.6399405 2.866667 0.6399405 2.800000 0.5606119 2.600000 0.9856108 2.700000 0.7020379 2.266667 0.8837151 2.200000 1.0823255 2.233333 0.9036961 3.266667 0.7988086 2.600000 0.9856108 2.933333 0.7988086 70.20000 65.73333 2.4000000 1.600000 14.482502 28.67669 0.9102590 0.5070926
365 24 3.416667 1.3160107 1.375000 0.7696696 1.791667 0.7790276 1.583333 0.6702801 2.541667 0.5882300 3.000000 0.8340577 2.770833 0.5893837 4.833333 0.4815434 4.791667 0.7210600 4.812500 0.5067479 2.875000 1.0347232 2.500000 1.0632191 2.687500 0.8573531 3.125000 0.8501918 3.375000 1.0134959 3.250000 0.8209221 87.83333 63.75000 2.9166667 1.625000 8.478447 44.52283 0.5036102 0.4945354
367 86 3.430233 1.5304032 3.081395 0.9847677 2.767442 0.7304216 2.924419 0.6255230 3.058139 1.0100047 2.848837 0.8611544 2.953488 0.6399812 3.069767 0.8372321 3.104651 0.9207295 3.087209 0.5593687 3.139535 0.8965659 2.872093 1.0034823 3.005814 0.6206931 3.116279 0.9383164 3.011628 0.8608366 3.063954 0.5466288 56.79070 57.02326 2.0348837 1.639535 18.050332 21.41356 1.2965808 0.4829515
370 24 2.166667 1.2038585 1.333333 0.8681147 1.041667 0.2041241 1.187500 0.4376941 3.541667 1.1412871 3.750000 1.0320937 3.645833 1.0051948 3.833333 1.0072203 3.708333 1.1220775 3.770833 1.0105871 3.041667 1.3981095 3.875000 1.2269616 3.458333 1.1412871 3.916667 0.8805466 3.708333 1.0417029 3.812500 0.7490937 86.45833 64.37500 3.4166667 1.625000 12.890776 47.02341 0.7172815 0.4945354
371 24 3.208333 1.5874280 1.583333 0.7755316 1.458333 0.5882300 1.520833 0.5208514 2.666667 0.7019641 3.083333 0.7172815 2.875000 0.6468990 2.875000 0.7408867 2.958333 0.8586727 2.916667 0.7469746 2.583333 0.9286112 2.416667 1.0598058 2.500000 0.8209221 2.750000 0.7939992 1.958333 0.8064504 2.354167 0.5800893 70.83333 62.29167 3.2916667 1.625000 14.913276 48.06561 0.9078961 0.4945354
374 49 3.183673 1.4241001 1.816326 1.1845089 1.428571 1.0408330 1.622449 1.0079404 2.102041 1.0457234 2.795918 1.2579678 2.448980 1.0618621 2.795918 1.2579678 3.224490 1.3112543 3.010204 1.1923794 2.428571 1.3070323 2.877551 1.4808873 2.653061 1.2041771 3.367347 1.2860449 2.265306 1.5380658 2.816327 1.0241555 49.63265 65.30612 0.0408163 1.653061 2.166928 48.09288 0.1999149 0.4809288
375 24 3.250000 1.3909646 2.478261 0.9472239 2.750000 1.0733936 2.565217 0.6793103 1.916667 1.0598058 1.291667 0.6902531 1.604167 0.5512667 1.166667 0.3806935 1.166667 0.6370221 1.166667 0.4584157 1.208333 0.5089774 1.250000 0.6079188 1.229167 0.4657665 1.291667 0.7506036 1.083333 0.2823299 1.187500 0.4848240 14.95833 58.50000 0.2500000 1.625000 23.755053 46.88283 0.8968544 0.4945354
376 49 2.591837 1.2062056 2.877551 1.6282999 2.693878 1.4606517 2.785714 1.3844373 2.775510 1.3884240 3.408163 1.4421969 3.091837 1.2105159 3.510204 1.0824827 3.591837 1.1711527 3.551020 0.9695623 2.734694 1.4968788 2.612245 1.4974468 2.673469 1.3484212 4.061224 0.9221389 2.816327 1.4530639 3.438776 0.9050360 78.24490 57.97959 3.3469388 1.632653 15.554381 37.97340 1.1823532 0.4870779
377 24 1.916667 0.7172815 2.333333 0.9168313 1.333333 0.4815434 1.833333 0.6019293 2.291667 0.7506036 2.875000 0.3378320 2.583333 0.4340574 2.958333 0.4643056 2.791667 0.5882300 2.875000 0.4484272 2.291667 0.8586727 1.500000 0.7801895 1.895833 0.7220015 1.875000 0.9469631 1.666667 0.7613870 1.770833 0.7798992 49.79167 55.75000 3.6666667 1.625000 1.531670 22.68355 0.8681147 0.4945354
378 24 2.291667 0.9545847 1.166667 0.3806935 1.291667 0.6240935 1.229167 0.3605300 2.958333 0.8064504 3.333333 0.8164966 3.145833 0.7442412 3.291667 0.9078961 3.583333 0.9743076 3.437500 0.8636689 2.166667 0.7613870 2.666667 1.2038585 2.416667 0.7613870 3.375000 0.4945354 2.916667 0.8805466 3.145833 0.5413182 62.41667 57.50000 2.5833333 1.625000 22.276751 28.55049 0.8805466 0.4945354
379 99 4.212121 1.2878770 3.535353 1.3117455 3.414141 0.8922581 3.474747 0.6522087 3.494950 0.9832655 3.545454 1.1717136 3.520202 0.7211074 3.747475 0.9829509 3.737374 1.0059604 3.742424 0.5730496 3.626263 0.9957651 3.858586 1.0102546 3.742424 0.6323088 3.717172 1.0105606 3.818182 1.0533100 3.767677 0.6750402 70.91919 58.41414 2.9494949 1.626263 20.684548 40.37478 0.8252858 0.4862572
381 24 2.041667 1.3666578 1.500000 0.7801895 2.083333 0.4082483 1.791667 0.4643056 3.000000 0.7801895 2.750000 0.7372098 2.875000 0.6634888 3.625000 0.7109394 3.500000 0.7801895 3.562500 0.6964584 3.333333 0.7613870 2.750000 0.7372098 3.041667 0.5500329 2.750000 0.7939992 2.666667 0.7613870 2.708333 0.7210600 66.16667 63.37500 2.9166667 1.625000 15.315995 40.97912 0.8805466 0.4945354
382 24 2.250000 1.3593477 2.291667 1.1220775 2.208333 0.9770927 2.250000 0.7223151 2.833333 0.7019641 3.375000 0.8242256 3.104167 0.7067865 3.166667 0.8164966 3.000000 0.7801895 3.083333 0.6538625 2.666667 1.0072203 3.041667 0.9545847 2.854167 0.8905197 2.666667 0.8681147 2.541667 0.7790276 2.604167 0.5706435 54.00000 61.08333 3.0833333 1.583333 16.839395 32.18684 0.8805466 0.5036102
384 124 3.991935 1.7783521 1.717742 0.8512113 1.685484 0.8000705 1.701613 0.6981956 3.306452 0.7563006 3.451613 0.8958335 3.379032 0.7307724 3.250000 0.6940514 3.088710 0.8065998 3.169355 0.6011070 2.822581 0.8463061 2.838710 0.8301934 2.830645 0.6011070 3.225807 0.8048502 2.975807 0.8785031 3.100807 0.6895852 69.77419 64.50806 2.3467742 1.637097 26.375906 44.44134 1.5775063 0.4827879
385 124 4.354839 2.3930575 1.701613 1.0279021 1.766129 1.1341619 1.733871 1.0407070 3.169355 1.0179029 3.362903 0.8956505 3.266129 0.7767859 3.298387 0.9455057 3.266129 0.9636387 3.282258 0.8747635 3.379032 0.9925965 3.161290 1.0698157 3.270161 0.9226138 3.314516 0.8201421 3.362903 1.0541029 3.338710 0.7926194 71.64516 65.79032 2.7258065 1.645161 21.389608 45.80664 0.9225161 0.4804055
387 74 2.405405 1.7666540 1.821918 0.9623823 1.486487 0.8796519 1.657534 0.8286398 2.824324 0.9702155 3.324324 0.9524030 3.074324 0.8977996 2.864865 0.7643481 3.189189 0.8548921 3.027027 0.6666821 2.621622 1.1189856 2.621622 0.9319695 2.621622 0.9356370 2.972973 0.7758861 2.824324 0.8497882 2.898649 0.5732611 74.98649 65.45946 3.6756757 1.635135 23.436591 39.06341 0.7604632 0.4846782
388 49 2.530612 1.7212161 2.551020 1.0420577 2.489796 1.1747774 2.520408 0.9069132 3.551020 0.7377111 4.142857 0.7359801 3.846939 0.6471418 3.877551 0.8811132 3.836735 1.0477543 3.857143 0.9185587 3.448980 0.8180573 2.877551 1.0334540 3.163265 0.7387190 3.000000 0.7359801 2.857143 0.7905694 2.928571 0.7144345 83.24490 62.89796 2.6734694 1.632653 11.029375 33.48149 0.5911766 0.4870779
389 182 3.862637 2.2759443 2.065934 1.0060831 1.769231 0.8678025 1.917582 0.6823090 2.450550 1.0486902 2.835165 0.9890420 2.642857 0.9584913 2.747253 0.7737889 2.972527 0.7755327 2.859890 0.6529880 2.038461 1.0211324 2.423077 1.1573046 2.230769 0.8135852 2.736264 0.7556076 2.192308 1.1031578 2.464286 0.7321272 63.04945 56.31868 3.0769231 1.648352 18.162641 31.48143 0.7613708 0.4788021
390 25 2.360000 1.1860298 1.400000 0.5773503 1.200000 0.4082483 1.300000 0.3227486 2.920000 0.7023769 3.440000 0.9609024 3.180000 0.7053368 3.600000 0.7071068 3.720000 0.9797959 3.660000 0.7599342 2.480000 1.0456258 2.600000 0.8660254 2.540000 0.7488881 3.600000 0.9128709 2.760000 0.9695360 3.180000 0.8020806 62.52000 56.56000 3.0400000 1.640000 17.750868 29.12342 0.8406347 0.4898979
391 25 3.040000 1.0984838 1.520000 0.9626353 1.080000 0.2768875 1.300000 0.5204165 2.800000 0.9574271 3.400000 1.1547005 3.100000 0.8539126 1.800000 1.1902381 3.280000 1.1733144 2.540000 0.8154753 3.120000 1.0923980 3.440000 1.1575837 3.280000 0.9903703 3.360000 0.9521905 3.320000 0.9000000 3.340000 0.7029699 69.00000 58.36000 1.2800000 1.680000 15.814023 31.32475 0.9797959 0.4760952
392 24 3.875000 1.0759223 2.500000 0.9325048 1.666667 0.9630868 2.083333 0.8030738 2.791667 0.5882300 3.166667 0.7019641 2.979167 0.5208514 3.083333 0.9286112 2.916667 1.0598058 3.000000 0.8846517 3.208333 0.8836272 2.958333 0.8586727 3.083333 0.7469746 2.958333 1.1220775 3.000000 1.0215078 2.979167 0.8782290 72.25000 62.54167 2.0000000 1.625000 18.594646 49.39898 0.7801895 0.4945354
395 10 3.000000 1.4142136 2.700000 0.6749486 2.800000 0.4216370 2.750000 0.4859127 2.900000 0.3162278 2.900000 0.3162278 2.900000 0.3162278 2.900000 0.3162278 2.800000 0.4216370 2.850000 0.3374743 2.600000 0.5163978 2.800000 0.4216370 2.700000 0.4216370 3.000000 0.4714045 2.800000 0.4216370 2.900000 0.3944053 62.10000 56.70000 1.3000000 1.500000 20.819062 24.56307 1.1595018 0.5270463
398 37 3.054054 1.9285277 2.432432 1.0419144 2.864865 0.9764494 2.648649 0.6221029 3.324324 0.7473678 3.135135 0.9475747 3.229730 0.6077577 3.405405 0.7622867 3.081081 1.0104558 3.243243 0.6731107 3.675676 1.0288628 3.189189 1.2875005 3.432432 1.0617214 3.162162 0.8979456 3.459459 0.9004503 3.310811 0.6598753 56.72973 54.89189 2.9459459 1.594595 14.433081 26.97919 0.7798129 0.4977427
399 75 4.053333 2.0982189 1.453333 0.7762232 1.360000 0.7285676 1.406667 0.5370926 2.960000 0.8127365 3.320000 0.8877545 3.140000 0.7001930 2.906667 0.9468773 3.053333 1.0383632 2.980000 0.9206343 2.693333 0.9582266 2.653333 1.0716662 2.673333 0.8756979 3.320000 0.7911675 2.293333 0.8663894 2.806667 0.7065970 77.29333 54.60000 2.2133333 1.626667 12.983121 30.07154 1.8548208 0.4869467
400 24 3.125000 0.7974143 2.333333 0.7019641 1.125000 0.4484272 1.729167 0.5103104 2.750000 0.6079188 2.875000 0.8998792 2.812500 0.5067479 2.833333 0.8164966 2.958333 0.7506036 2.895833 0.5706435 2.916667 0.8805466 3.041667 0.8064504 2.979167 0.4995469 3.291667 0.8586727 3.125000 0.7974143 3.208333 0.5694518 71.50000 66.66667 2.2916667 1.625000 15.466654 48.15434 0.8064504 0.4945354
401 124 3.411290 1.2097981 2.758065 0.9488630 2.572581 0.7344417 2.665323 0.5548082 3.072581 0.8758122 2.854839 0.8989022 2.963710 0.5849515 3.088710 0.8835635 3.016129 0.9193836 3.052419 0.6337992 3.040323 0.9052619 2.943548 0.9902157 2.991935 0.6895971 3.209677 0.7355568 3.241935 0.9228003 3.225807 0.5959035 67.23387 46.19355 2.6854839 1.653226 21.538436 28.63953 0.7583351 0.4778739
402 75 4.080000 1.6986481 1.853333 0.9400019 1.826667 0.9353903 1.840000 0.7761652 2.626667 0.8182601 2.640000 1.0984018 2.633333 0.6990985 2.853333 1.1353453 2.960000 0.8291969 2.906667 0.7383937 2.946667 1.0766983 3.133333 0.9491580 3.040000 0.7744222 2.613333 1.2180327 2.586667 1.0146672 2.600000 0.8891235 59.61333 64.73333 2.0133333 1.640000 13.024814 41.27113 1.1088506 0.4832324
403 124 4.370968 1.7736451 1.693548 1.0373310 2.370968 1.1438613 2.032258 0.5400314 2.750000 0.8127540 3.903226 0.6677149 3.326613 0.5336039 3.951613 0.7635480 3.798387 0.7648778 3.875000 0.6202052 3.572581 1.2041486 3.500000 1.0000000 3.536290 0.9735807 3.161290 0.7143944 3.040323 0.8779058 3.100807 0.6278750 78.58871 64.38710 3.0564516 1.637097 15.065716 42.62995 1.6245195 0.4827879
404 124 2.411290 1.5618006 1.475807 0.7038074 1.306452 0.6269998 1.391129 0.4879044 3.306452 0.8378973 3.508065 0.7808268 3.407258 0.7660662 3.000000 0.6115421 3.427419 0.8280979 3.213710 0.5884159 3.024193 0.7700038 3.080645 0.9335375 3.052419 0.7264418 3.548387 0.6420855 2.508065 0.9239010 3.028226 0.6158556 80.00000 63.87903 0.0322581 1.637097 8.374370 47.44301 0.3592106 0.4827879
405 25 5.080000 1.9561868 2.040000 0.9345231 1.920000 0.8621678 1.980000 0.7836879 2.880000 0.7257180 2.520000 0.8225975 2.700000 0.6123724 2.640000 0.5686241 2.400000 0.6454972 2.520000 0.4890467 2.960000 0.9345231 2.480000 0.5859465 2.720000 0.5220153 2.480000 0.6531973 2.920000 0.8124038 2.700000 0.5204165 55.56000 58.00000 3.0400000 1.640000 18.239335 35.56684 0.7895146 0.4898979
407 99 2.777778 1.8213897 1.838384 1.0172700 1.444444 0.6884206 1.641414 0.6430175 4.060606 0.8785213 4.202020 0.8204006 4.131313 0.7811094 4.505051 0.6757269 4.606061 0.6359660 4.555556 0.5709323 3.656566 0.9810617 3.878788 0.9177693 3.767677 0.8216246 4.656566 0.5182706 4.080808 0.9441200 4.368687 0.6412116 82.56566 68.01010 2.0303030 1.656566 11.717910 32.71382 1.4808612 0.4772715
408 49 3.510204 1.9052827 2.000000 0.8416254 1.632653 0.7272631 1.816326 0.5835762 3.367347 0.8825597 3.448980 0.9587584 3.408163 0.7949939 3.632653 1.0546302 3.367347 1.1671525 3.500000 1.0000000 3.183673 1.3795149 3.244898 1.3923992 3.214286 1.1133658 3.367347 0.6980293 3.163265 0.9431096 3.265306 0.6854290 66.89796 56.93878 2.7551020 1.612245 14.806030 33.16713 1.0109940 0.4922875
410 49 2.836735 1.6117658 1.795918 0.9995747 1.836735 1.0072020 1.816326 0.7266782 2.163265 1.1609432 2.918367 0.9317710 2.540816 0.8154545 2.510204 1.0231172 2.244898 1.0514001 2.377551 0.7874710 2.673469 1.0875767 2.081633 1.0961435 2.377551 0.8449027 1.897959 0.9627413 2.408163 1.1350178 2.153061 0.8490441 67.02041 56.46939 2.8979592 1.673469 17.036101 26.36214 0.5861206 0.4738035
411 50 2.920000 2.3197466 2.140000 0.6064282 1.840000 0.9337220 1.990000 0.5391793 2.820000 0.8964784 3.240000 0.9806287 3.030000 0.8595799 2.880000 0.8722479 2.960000 1.1598733 2.920000 0.9111554 2.960000 0.8071113 2.420000 0.9278019 2.690000 0.7415510 2.680000 0.9354689 2.400000 0.8571429 2.540000 0.7879190 58.64000 50.78000 2.9400000 1.620000 15.783950 37.10839 0.8184106 0.4903144
412 76 2.750000 1.6010413 1.947368 0.6087087 2.171053 0.7190393 2.059210 0.4616428 2.736842 0.5743035 3.197368 0.5169071 2.967105 0.4642954 2.644737 0.7430379 2.921053 0.8908896 2.782895 0.7453658 2.631579 0.6701663 2.447368 0.9985955 2.539474 0.7200146 2.302632 0.6736911 2.960526 0.7906249 2.631579 0.5559881 50.06579 59.28947 2.5394737 1.631579 9.246744 34.66634 1.0512315 0.4855816
413 15 3.000000 2.0701967 1.866667 0.9904304 1.466667 0.6399405 1.666667 0.6725927 2.666667 0.7237469 2.800000 0.6761234 2.733333 0.6229729 2.333333 0.4879500 2.666667 0.4879500 2.500000 0.3779645 2.533333 1.1872337 2.266667 0.4577377 2.400000 0.6035609 2.666667 0.4879500 2.466667 0.5163978 2.566667 0.3199702 62.20000 65.33333 2.8000000 1.666667 14.571008 39.80249 0.6761234 0.4879500
414 25 3.280000 1.8375709 2.520000 1.4753531 1.560000 0.8205689 2.040000 0.6601767 2.520000 0.8225975 2.640000 0.7000000 2.580000 0.6238322 2.520000 0.9183318 2.640000 1.0360180 2.580000 0.9318440 2.000000 1.0408330 2.040000 1.0984838 2.020000 1.0255080 2.480000 0.7702813 2.960000 1.0198039 2.720000 0.7648529 53.56000 59.36000 2.7600000 1.600000 6.364485 33.48492 0.6633250 0.5000000
416 25 4.680000 2.4785749 1.360000 0.8602325 1.400000 0.5000000 1.380000 0.5642104 3.200000 0.5773503 3.400000 0.7071068 3.300000 0.5951190 3.440000 1.0033278 3.440000 1.2274635 3.440000 1.0637982 2.880000 1.1298968 2.600000 1.1547005 2.740000 1.0012492 3.840000 0.8000000 3.000000 0.7637626 3.420000 0.6069047 61.44000 61.24000 2.2400000 1.600000 22.160550 48.82049 1.3625956 0.5000000
417 25 4.640000 1.0360180 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 3.040000 0.2000000 3.040000 0.2000000 3.040000 0.2000000 3.000000 0.0000000 3.000000 0.0000000 3.000000 0.0000000 3.040000 0.2000000 3.000000 0.0000000 3.020000 0.1000000 3.000000 0.0000000 3.000000 0.0000000 3.000000 0.0000000 67.80000 56.32000 0.0000000 1.600000 5.307228 27.82942 0.0000000 0.5000000
421 124 3.282258 1.1516018 2.072581 1.0054598 1.677419 0.7047849 1.875000 0.5581073 3.032258 0.7318035 3.209677 0.7785143 3.120968 0.7110366 3.048387 0.7309070 2.975807 0.8597949 3.012097 0.7113017 2.911290 0.9017787 2.967742 1.0275512 2.939516 0.8916796 3.145161 0.6463600 3.040323 0.7798185 3.092742 0.6226319 49.47581 58.12097 3.4758065 1.637097 4.605518 31.79753 0.8406706 0.4827879
422 25 3.760000 0.8793937 2.200000 0.5000000 2.080000 0.4000000 2.140000 0.2708013 2.440000 0.5066228 2.880000 0.6658328 2.660000 0.5147815 2.680000 0.6904105 3.040000 0.6757712 2.860000 0.6041523 2.600000 0.6454972 2.440000 0.5066228 2.520000 0.4890467 3.000000 0.5773503 2.600000 0.5000000 2.800000 0.4564355 82.32000 56.24000 2.6400000 1.600000 3.727376 37.25395 0.4898979 0.5000000
424 100 3.580000 2.4829927 1.370000 0.5800557 1.470000 0.7713952 1.420000 0.5304848 2.790000 1.1659738 3.200000 0.9101004 2.995000 0.9961922 3.200000 0.7784989 3.490000 0.7976607 3.345000 0.7443219 2.320000 1.1090081 2.380000 1.0519823 2.350000 0.7897705 2.900000 0.9156330 1.910000 0.8299325 2.405000 0.6501554 79.85000 63.38000 3.1900000 1.650000 17.608179 45.19850 0.7343657 0.4793725
425 24 3.625000 1.6100905 1.416667 0.5036102 2.041667 0.9545847 1.729167 0.6251811 2.333333 0.5646597 2.833333 0.6370221 2.583333 0.5450701 3.250000 0.6756639 3.041667 0.7506036 3.145833 0.5208514 2.791667 0.8836272 2.166667 1.0494995 2.479167 0.6164267 3.083333 0.7172815 2.166667 0.9168313 2.625000 0.6298723 61.50000 60.91667 1.8333333 1.625000 9.278306 28.42827 1.6061476 0.4945354
427 10 3.400000 1.7763883 2.100000 0.8755950 2.800000 1.1352924 2.450000 0.7245688 2.600000 0.9660918 3.100000 0.7378648 2.850000 0.7835106 3.200000 0.9189366 3.200000 0.7888106 3.200000 0.7888106 2.500000 1.0801234 3.000000 0.9428090 2.750000 0.9204468 3.500000 0.8498366 2.800000 0.9189366 3.150000 0.6687468 41.30000 51.10000 2.5000000 1.500000 20.336339 38.97991 0.8498366 0.5270463
428 124 3.959677 1.9059137 1.346774 0.6507576 1.266129 0.5995780 1.306452 0.4715899 3.806452 0.7722570 3.879032 0.7607521 3.842742 0.7418033 3.830645 0.8334645 3.814516 0.8682937 3.822581 0.8219389 3.354839 0.8282958 2.693548 1.0528893 3.024193 0.7673596 3.612903 0.8333464 3.709677 0.8532501 3.661290 0.7665475 74.60484 61.15323 3.4435484 1.629032 26.230318 40.79077 0.8770091 0.4850235
429 11 4.636364 1.2862914 4.090909 0.7006490 3.727273 0.9045340 3.909091 0.5393599 4.090909 0.8312094 3.727273 0.7862454 3.909091 0.4908249 4.545454 0.5222330 3.545454 0.9341987 4.045454 0.5222330 4.090909 1.0444659 4.090909 0.8312094 4.090909 0.6640099 4.090909 0.9438798 4.454546 0.6875517 4.272727 0.5640761 82.90909 62.27273 2.5454545 1.545454 8.949352 41.51407 0.6875517 0.5222330
433 24 3.416667 1.0179548 2.000000 0.7223151 1.916667 0.8297022 1.958333 0.6240935 2.333333 0.9168313 2.166667 0.9630868 2.250000 0.7518094 2.291667 0.6902531 2.000000 0.8340577 2.145833 0.5208514 2.125000 0.6796738 2.458333 0.8836272 2.291667 0.6412736 2.416667 0.5835921 2.708333 0.8586727 2.562500 0.6309499 55.12500 62.45833 2.5000000 1.583333 26.649598 45.57839 0.6593805 0.5036102
435 24 3.791667 1.8645239 1.666667 0.8164966 1.625000 0.9237212 1.645833 0.6507382 4.416667 0.6538625 4.541667 0.7790276 4.479167 0.6338147 4.333333 0.8164966 4.250000 0.8469896 4.291667 0.7506036 4.166667 0.8681147 3.458333 1.2150923 3.812500 0.7194880 3.708333 1.1220775 3.958333 1.0417029 3.833333 0.8805466 77.45833 63.87500 2.6250000 1.583333 13.554974 43.33220 0.9696481 0.5036102
436 50 2.840000 1.8990868 1.660000 0.8478063 1.760000 0.6565214 1.710000 0.5448273 3.060000 0.7117096 3.280000 0.7835034 3.170000 0.6194962 3.200000 0.6388766 3.300000 0.6468132 3.250000 0.5736564 2.940000 0.7117096 3.040000 0.8797031 2.990000 0.6427778 3.260000 0.5996598 2.960000 0.7273098 3.110000 0.4978525 80.98000 54.42000 2.7600000 1.620000 10.962813 37.69918 0.6565214 0.4903144
437 17 3.352941 1.7299269 1.882353 1.1114379 2.588235 1.1213175 2.235294 0.7524470 3.000000 1.2747549 2.941177 1.1974237 2.970588 1.1655282 3.941177 1.0289915 3.764706 1.5218990 3.852941 1.1694644 2.235294 1.2514697 3.176471 1.5506166 2.705882 1.0009187 2.764706 1.4374201 2.588235 1.2776357 2.676471 1.0744356 57.35294 53.17647 3.8235294 1.588235 30.779338 36.32533 0.7276069 0.5072997
439 24 3.041667 1.0417029 3.125000 0.4484272 2.958333 0.3586408 3.041667 0.2518051 3.291667 0.5500329 3.250000 0.4423259 3.270833 0.3605300 3.333333 0.5646597 3.208333 0.5089774 3.270833 0.4164855 3.458333 0.5882300 3.291667 0.5500329 3.375000 0.4720446 3.208333 0.5089774 3.291667 0.5500329 3.250000 0.2553770 59.25000 53.70833 2.1250000 1.666667 23.037304 29.03443 0.8998792 0.4815434
441 49 3.326531 1.8972321 1.714286 0.6770032 1.938775 0.8012533 1.826531 0.6085418 3.183673 0.8820778 3.244898 0.9901728 3.214286 0.8838835 3.346939 0.9025663 3.183673 0.8081220 3.265306 0.7977967 2.979592 0.8033730 3.224490 1.2292495 3.102041 0.7904350 3.469388 0.7388629 2.897959 0.9408528 3.183673 0.7121993 82.42857 61.63265 3.0612245 1.632653 12.974334 32.59262 0.7474446 0.4870779
442 50 3.600000 1.9794866 1.820000 1.1008346 2.280000 1.0887177 2.050000 0.8033730 2.620000 0.9010198 2.920000 0.9222864 2.770000 0.7838289 3.060000 0.8900814 3.080000 0.8290639 3.070000 0.7759786 2.920000 1.0466662 2.860000 1.0881552 2.890000 1.0216533 2.980000 0.8687312 2.820000 0.9189613 2.900000 0.8329931 71.52000 57.96000 0.9400000 1.620000 22.067836 31.65694 1.5038726 0.4903144
443 99 3.919192 2.2618250 1.595960 0.6986750 1.555556 0.6734350 1.575758 0.4810895 2.787879 0.6106659 3.080808 0.6173804 2.934343 0.5470070 2.969697 0.5431305 3.121212 0.7038194 3.045454 0.5582905 2.444444 0.8234103 2.797980 0.6848178 2.621212 0.6230722 2.737374 0.5990785 2.727273 0.6672848 2.732323 0.5638476 51.08081 57.40404 2.7474747 1.636364 8.293933 25.81169 0.8729896 0.4834938
445 24 1.708333 0.4643056 2.208333 0.8329709 1.833333 0.7613870 2.020833 0.6338147 2.708333 0.8064504 3.458333 0.8329709 3.083333 0.7019641 3.333333 0.8164966 3.208333 0.8836272 3.270833 0.7937140 2.583333 1.0598058 2.083333 1.1764599 2.333333 0.9048981 3.125000 0.9469631 3.125000 1.1156008 3.125000 0.9469631 56.12500 62.12500 2.3750000 1.625000 27.219418 40.30893 0.5757792 0.4945354
446 124 3.048387 1.5025985 1.403226 0.4925354 1.919355 0.3275128 1.661290 0.2959646 3.177419 0.6753305 3.362903 0.5309093 3.270161 0.5234314 3.500000 0.5630925 3.612903 0.5802954 3.556452 0.4694300 2.927419 0.6647132 2.766129 0.7225617 2.846774 0.4945944 3.266129 0.5426354 3.088710 0.7436681 3.177419 0.4471843 61.61290 59.84677 3.3548387 1.629032 7.857170 33.76630 0.4804055 0.4850235
447 124 3.951613 1.8950292 2.548387 1.4725391 2.137097 1.3515103 2.342742 1.1268471 3.008065 1.1511462 3.612903 1.2343964 3.310484 1.0584402 4.056452 1.2834305 4.370968 0.9915721 4.213710 0.9221162 2.338710 1.1609297 3.685484 1.4277558 3.012097 0.9315249 3.129032 1.3790992 3.282258 1.4288575 3.205645 0.9151216 66.63710 54.70161 2.6693548 1.653226 26.135462 33.89510 1.0799110 0.4778739
448 25 3.560000 2.4337899 1.625000 0.8753881 2.320000 1.0692677 1.979167 0.7294901 2.280000 1.0214369 2.600000 1.0408330 2.440000 0.9278110 3.080000 1.1874342 3.120000 1.0923980 3.100000 1.0000000 2.160000 0.8504901 2.440000 1.0832051 2.300000 0.7500000 2.720000 1.3391540 1.880000 1.2355835 2.300000 0.9464847 63.56000 58.48000 2.6800000 1.600000 14.648891 38.94025 1.3759845 0.5000000
449 124 3.274193 2.0888349 1.669355 0.6713870 1.669355 0.6340190 1.669355 0.4126412 2.459677 0.8591847 3.217742 0.8607095 2.838710 0.8002753 3.475807 0.6043704 3.354839 0.7006797 3.415323 0.5728327 3.048387 0.8912843 2.370968 1.1438613 2.709677 0.7438003 3.145161 0.6206939 2.145161 0.7618287 2.645161 0.5622769 90.58065 63.04032 2.6854839 1.637097 9.816277 46.75423 0.6670763 0.4827879
451 49 3.551020 1.9797014 1.653061 0.8049591 1.102041 0.3058389 1.377551 0.4844521 2.551020 0.7377111 3.224490 0.6851188 2.887755 0.6060915 2.326531 0.7468756 2.897959 0.8227215 2.612245 0.6790412 1.857143 0.7637626 1.836735 0.8743316 1.846939 0.6785714 2.979592 0.6919115 2.326531 0.6578929 2.653061 0.5224550 64.91837 60.57143 2.4081633 1.612245 14.282619 39.94006 0.5369034 0.4922875
452 10 3.800000 2.2509257 1.700000 0.8232726 1.900000 0.8755950 1.800000 0.5868939 2.000000 0.8164966 2.500000 1.0801234 2.250000 0.8579692 2.700000 1.2516656 2.900000 1.5238839 2.800000 1.3581033 2.600000 1.5776213 2.300000 1.2516656 2.450000 1.3426756 2.600000 1.5055453 2.200000 1.1352924 2.400000 1.1737878 48.90000 61.60000 3.2000000 1.600000 0.875595 46.94962 1.3165612 0.5163978
453 25 3.360000 1.8000000 2.240000 1.1284207 2.560000 0.9609024 2.400000 0.5951190 1.440000 0.7681146 2.600000 0.7637626 2.020000 0.5859465 3.040000 1.0198039 3.240000 0.9255629 3.140000 0.7842194 2.360000 1.0754844 2.640000 1.0754844 2.500000 0.9895285 3.000000 0.7637626 2.040000 1.2409674 2.520000 0.8597480 47.56000 51.24000 1.0000000 1.600000 5.838664 24.46303 1.5000000 0.5000000
454 25 2.640000 1.2543258 1.400000 0.7637626 1.160000 0.4725816 1.280000 0.4582576 2.040000 1.0598742 2.920000 1.1518102 2.480000 1.0255080 1.440000 0.7118052 2.280000 0.9797959 1.860000 0.6211548 1.640000 0.9521905 1.600000 0.8660254 1.620000 0.6000000 2.760000 0.6633250 2.000000 1.1547005 2.380000 0.7112196 60.60000 64.24000 2.2000000 1.640000 11.905881 47.44144 1.6072751 0.4898979
456 25 2.480000 2.2752289 2.720000 0.9797959 2.400000 0.8164966 2.560000 0.8205689 2.960000 0.7895146 2.720000 0.8426150 2.840000 0.6409628 2.680000 0.6904105 3.000000 0.9574271 2.840000 0.6726812 3.160000 0.8981462 2.680000 0.9000000 2.920000 0.7314369 2.800000 0.9128709 2.520000 0.7141428 2.660000 0.5722762 54.44000 53.40000 1.5600000 1.640000 21.907153 31.14081 1.4165686 0.4898979
459 25 3.600000 2.2173558 1.840000 1.0677078 2.760000 0.8793937 2.300000 0.7071068 2.840000 0.8000000 3.120000 0.8326664 2.980000 0.7427427 3.560000 0.8698659 3.120000 0.7810250 3.340000 0.7735201 2.800000 0.8660254 3.000000 1.1547005 2.900000 0.8779711 2.880000 0.9273618 2.480000 0.5859465 2.680000 0.6103278 64.20000 63.84000 3.2800000 1.640000 21.301408 45.40987 0.6782330 0.4898979
461 21 1.809524 0.4023739 1.666667 0.6582806 2.000000 0.7745967 1.833333 0.6390097 2.904762 0.7684245 3.571429 0.9258201 3.238095 0.7684245 2.952381 0.9206623 3.285714 1.1019463 3.119048 0.9605306 2.952381 1.1169687 3.142857 1.0141851 3.047619 0.9605306 2.952381 0.9734573 2.380952 0.8646497 2.666667 0.7472171 72.66667 60.76190 2.5714286 1.666667 12.183322 32.60353 1.4342743 0.4830459
463 25 2.080000 1.0376255 2.880000 1.0923980 2.440000 1.0832051 2.660000 1.0480140 2.000000 1.0000000 2.520000 1.0456258 2.260000 0.9802211 2.760000 0.9695360 2.880000 0.9273618 2.820000 0.9228579 1.760000 0.9255629 2.160000 1.1430952 1.960000 0.7205322 2.520000 0.5859465 2.320000 1.1445523 2.420000 0.6563790 59.80000 58.52000 2.1200000 1.640000 15.242484 33.36555 1.3329166 0.4898979
467 75 3.453333 1.7880484 1.680000 0.7196095 1.400000 0.5198752 1.540000 0.5183133 2.640000 0.6904757 2.653333 0.7796973 2.646667 0.7155292 2.360000 0.4832324 2.426667 0.5735931 2.393333 0.4952022 2.346667 0.9514332 2.000000 0.6974858 2.173333 0.6498094 2.400000 0.5694948 2.480000 0.6443098 2.440000 0.4499249 55.24000 59.17333 3.0666667 1.653333 16.723377 26.23716 0.5773503 0.4791133
469 124 4.169355 2.3503045 1.669355 0.7621298 2.427419 0.8182212 2.048387 0.4955877 2.790323 0.6282534 3.467742 0.6556259 3.129032 0.5553545 2.911290 0.4599770 3.040323 0.5616351 2.975807 0.4635268 2.475807 0.7152657 2.024193 0.8111390 2.250000 0.5963984 2.895161 0.4740167 2.475807 0.6803121 2.685484 0.4251625 60.00000 54.42742 0.4516129 1.629032 12.846182 24.89986 1.0846665 0.4850235
470 25 3.640000 1.1503623 1.920000 0.8621678 1.480000 0.6531973 1.700000 0.6123724 2.880000 0.8812869 3.680000 0.4760952 3.280000 0.5787918 3.080000 1.0376255 3.120000 0.6658328 3.100000 0.7359801 2.280000 0.8426150 2.360000 0.9073772 2.320000 0.7199537 2.280000 0.6782330 3.280000 0.7371115 2.780000 0.5416026 61.88000 64.84000 3.1600000 1.680000 22.219211 33.98245 0.7461010 0.4760952
476 25 3.040000 2.2263573 1.640000 0.8103497 1.640000 0.7571878 1.640000 0.4681524 2.920000 0.7023769 3.520000 0.7702813 3.220000 0.6934215 3.440000 0.8698659 3.520000 0.7702813 3.480000 0.7702813 2.840000 0.8504901 2.680000 0.9451631 2.760000 0.8180261 3.800000 0.6454972 2.720000 0.9363048 3.260000 0.7088723 51.36000 54.84000 2.4400000 1.640000 17.663239 38.82405 0.7681146 0.4898979
479 124 2.846774 1.5090209 1.645161 0.7346649 1.717742 0.8793982 1.681452 0.6757552 3.233871 1.1413077 3.911290 0.8927176 3.572581 0.9210580 4.193548 0.7827138 3.983871 0.8262352 4.088710 0.7186493 2.943548 0.8862309 3.540323 1.1989100 3.241935 0.8776444 3.919355 0.9159541 3.153226 0.9880946 3.536290 0.7708442 60.07258 63.26613 2.1693548 1.637097 16.164889 45.25216 1.3835372 0.4827879
480 100 3.390000 1.6750999 2.484849 1.0037037 2.500000 1.0200020 2.484849 0.5909804 2.820000 0.9031930 3.250000 0.8211227 3.035000 0.7857795 2.810000 0.6918720 2.870000 0.7608475 2.840000 0.6699917 2.240000 0.7401883 2.840000 0.8130253 2.540000 0.5397343 3.010000 0.8102251 2.760000 0.7401883 2.885000 0.5543902 51.94000 60.60000 2.8200000 1.600000 22.322621 39.47458 1.2175485 0.4923660
482 18 2.888889 1.0226200 2.500000 1.6179144 1.888889 0.9633818 2.194444 0.7099894 4.333333 0.4850713 4.555556 0.7047922 4.444444 0.4501271 3.555556 0.7047922 3.333333 1.0289915 3.444444 0.7453560 4.444444 0.6156988 3.111111 1.7111705 3.777778 0.8947925 4.666667 0.4850713 3.888889 0.9002541 4.277778 0.5208088 96.11111 56.05556 2.3888889 1.555556 7.152859 46.83949 1.0369009 0.5113100
483 75 2.600000 1.8672136 1.360000 0.6706189 1.373333 0.6930803 1.366667 0.5534495 2.466667 0.7039144 2.800000 0.7533708 2.633333 0.5773503 3.213333 0.6215354 2.813333 0.7478498 3.013333 0.5197019 2.160000 0.8705388 2.746667 0.8397769 2.453333 0.7126906 2.626667 0.7845352 2.106667 0.6692742 2.366667 0.5946458 49.58667 59.54667 0.3600000 1.653333 2.995913 35.47107 0.9675827 0.4791133
485 50 3.960000 2.2674268 2.160000 1.2182289 1.300000 0.4629100 1.730000 0.6940711 3.120000 0.3854496 3.540000 0.5034574 3.330000 0.3726628 3.180000 0.6288960 3.460000 0.5424811 3.320000 0.5126960 2.880000 0.7182746 2.900000 0.8864053 2.890000 0.7374114 3.220000 0.5454824 2.980000 0.5886685 3.100000 0.4844521 61.52000 59.84000 2.8000000 1.600000 14.615117 47.10447 0.6388766 0.4948717
486 124 3.645161 1.9844663 1.879032 0.9760776 2.040323 0.7145320 1.959677 0.5241981 2.516129 0.8878939 2.967742 0.8058272 2.741935 0.7113593 3.024193 0.7908389 3.258065 0.7198799 3.141129 0.6033797 2.774193 0.9269121 2.629032 0.9915721 2.701613 0.7182843 2.733871 0.8372319 3.088710 0.7436681 2.911290 0.5374147 60.07258 57.09677 2.6935484 1.637097 24.209846 22.94901 0.7669750 0.4827879
487 14 3.714286 2.3014568 1.642857 1.2774459 1.214286 0.5789342 1.428571 0.6462062 2.428571 0.8516306 2.714286 0.7262730 2.571429 0.6462062 2.714286 0.8254203 3.142857 0.8644378 2.928571 0.6753103 2.785714 1.0509023 2.500000 0.9405399 2.642857 0.9078413 2.928571 0.2672612 2.571429 0.8516306 2.750000 0.4274252 50.71429 56.92857 0.0000000 1.714286 1.589803 29.27972 0.0000000 0.4688072
489 100 2.900000 1.8062741 2.460000 1.1048104 2.040000 0.8636310 2.250000 0.7017295 2.230000 0.8510837 2.990000 0.8102251 2.610000 0.7473184 2.290000 1.0473150 2.560000 0.9354953 2.425000 0.8999860 1.840000 0.8005049 2.040000 1.1274356 1.940000 0.7326443 2.540000 0.9890307 2.040000 0.9735907 2.290000 0.6558979 63.66000 63.53000 0.1300000 1.630000 10.497927 40.03041 0.7474536 0.4852366
490 124 3.532258 1.7689071 1.233871 0.4616843 1.596774 0.6857357 1.415323 0.4585315 2.790323 0.7573402 2.766129 0.6515631 2.778226 0.5677742 3.072581 0.7004457 3.096774 0.8106943 3.084677 0.6039227 2.758065 0.7475811 2.548387 0.7688534 2.653226 0.5027462 2.733871 0.6879789 2.766129 0.8274643 2.750000 0.6165073 62.59677 59.79032 2.6693548 1.637097 12.924370 29.80650 0.6951841 0.4827879
492 25 3.400000 1.3844373 1.960000 0.7895146 1.760000 0.8306624 1.860000 0.5866572 3.160000 0.8000000 3.400000 0.7637626 3.280000 0.6626965 3.440000 0.9609024 3.240000 1.0115994 3.340000 0.8504901 2.720000 0.8426150 3.240000 0.9695360 2.980000 0.6843488 3.200000 0.9574271 3.000000 0.9574271 3.100000 0.8416254 62.84000 61.24000 2.6000000 1.640000 18.709801 33.94147 0.6454972 0.4898979
494 25 3.360000 1.8230012 2.200000 0.9574271 2.080000 0.9092121 2.140000 0.8231039 2.840000 0.6244998 3.200000 0.7071068 3.020000 0.5099020 3.160000 0.8504901 3.520000 1.0456258 3.340000 0.8504901 2.800000 0.9574271 3.000000 0.7637626 2.900000 0.7905694 3.280000 0.7371115 2.760000 0.7788881 3.020000 0.6204837 62.44000 53.36000 0.9200000 1.640000 14.341316 34.94147 1.4118546 0.4898979
495 22 3.363636 2.2582221 1.727273 1.0771133 2.454546 1.4384937 2.090909 1.0980108 2.363636 1.1769798 2.500000 1.2630274 2.431818 1.1881904 2.954546 0.8438727 2.863636 0.9902118 2.909091 0.8540710 2.318182 1.2105238 2.727273 0.9847319 2.522727 0.7939844 2.818182 1.0064726 2.545454 1.1843131 2.681818 0.9454837 57.63636 55.81818 2.6363636 1.681818 15.280069 31.43495 1.0486025 0.4767313
496 25 3.360000 2.0591260 1.520000 0.7141428 1.520000 0.8717798 1.520000 0.6034622 2.520000 0.8225975 2.720000 0.5416026 2.620000 0.6337718 2.280000 1.0214369 1.920000 0.9539392 2.100000 0.6922187 1.960000 0.9780934 1.920000 0.9539392 1.940000 0.9500000 2.640000 0.6377042 2.120000 0.6658328 2.380000 0.5642104 61.40000 61.40000 3.7600000 1.640000 15.819292 48.00347 0.7788881 0.4898979
497 50 3.540000 2.4007652 1.800000 0.7559289 1.980000 0.9145089 1.890000 0.7304597 2.780000 0.7082603 3.280000 0.7010197 3.030000 0.6421425 3.040000 0.7548483 3.160000 0.9116032 3.100000 0.7354022 2.280000 0.8339725 2.500000 0.8864053 2.390000 0.6490967 2.660000 0.9171829 2.920000 0.8533248 2.790000 0.7149283 67.76000 65.90000 2.5400000 1.660000 17.424543 45.98857 1.3125765 0.4785181
501 25 3.680000 1.4059398 1.440000 0.7681146 1.360000 0.5686241 1.400000 0.4564355 3.520000 0.7141428 3.720000 0.5416026 3.620000 0.4153312 3.720000 0.4582576 3.880000 0.7257180 3.800000 0.4082483 3.640000 0.8602325 3.480000 1.1590226 3.560000 0.9278110 3.200000 0.8164966 2.720000 0.7371115 2.960000 0.6278269 63.28000 62.72000 2.2800000 1.640000 15.344706 46.78721 0.6782330 0.4898979
502 69 2.768116 1.3519586 2.043478 0.8302158 1.608696 0.5743895 1.826087 0.5804796 2.797101 0.4051038 3.217391 0.5908510 3.007246 0.4329512 2.927536 0.6927957 2.753623 0.6946391 2.840580 0.6329945 2.753623 0.7747067 2.637681 0.6410243 2.695652 0.6196381 3.246377 0.5791931 2.811594 0.5497422 3.028986 0.4608501 70.17391 65.39130 3.3333333 1.637681 10.812515 42.34460 0.7982825 0.4841917
504 25 4.160000 2.8965497 2.320000 1.6000000 3.040000 1.7435596 2.680000 1.2980755 2.160000 0.9433981 2.680000 1.4352700 2.420000 1.1056672 3.080000 1.3515423 3.560000 1.5297059 3.320000 1.1979149 1.520000 1.0456258 2.600000 1.5000000 2.060000 0.9389711 2.680000 1.0692677 1.800000 1.1902381 2.240000 0.9255629 38.80000 48.48000 0.0800000 1.600000 19.555477 30.57384 0.4000000 0.5000000
505 25 4.560000 1.9595918 1.640000 0.8103497 2.680000 1.0692677 2.160000 0.6244998 2.600000 0.8164966 2.680000 0.8524475 2.640000 0.7291548 2.640000 0.6377042 3.000000 0.7071068 2.820000 0.5377422 2.360000 0.8103497 3.000000 0.8164966 2.680000 0.6271629 2.720000 0.7916228 2.240000 0.5972158 2.480000 0.5099020 64.36000 61.76000 2.6800000 1.640000 19.274076 40.22984 0.6904105 0.4898979
507 50 1.640000 0.9205145 1.612245 0.9961661 1.440000 0.8843307 1.530612 0.7174039 2.060000 1.1322724 2.260000 1.0460811 2.160000 1.0372648 2.320000 1.1856282 2.200000 1.1952286 2.260000 1.1439281 2.120000 1.0999072 2.240000 1.3334014 2.180000 1.1237692 2.240000 1.0606121 1.880000 1.0621503 2.060000 0.9930370 47.64000 61.28000 2.2600000 1.680000 14.873288 33.01517 0.9216223 0.4712121
509 25 1.600000 0.8660254 1.920000 0.9539392 1.280000 0.5416026 1.600000 0.5204165 2.440000 0.8205689 3.040000 0.8888194 2.740000 0.7516648 2.720000 0.7916228 2.840000 0.7461010 2.780000 0.6782330 2.280000 1.0214369 2.400000 1.0801234 2.340000 0.9543759 2.680000 0.7483315 2.560000 0.6506407 2.620000 0.6000000 50.96000 61.76000 2.7200000 1.640000 1.059874 46.47157 0.6137318 0.4898979
510 25 2.400000 1.8257419 2.360000 1.1860298 1.280000 0.5416026 1.820000 0.7756718 4.120000 0.9712535 4.480000 0.7702813 4.300000 0.8164966 3.680000 0.9000000 3.920000 1.0376255 3.800000 0.8416254 3.640000 1.3190906 3.000000 1.1180340 3.320000 0.9987492 3.880000 1.0535654 3.800000 0.9574271 3.840000 0.9543759 60.64000 57.16000 1.6000000 1.600000 25.373674 30.78376 1.2247449 0.5000000
511 49 3.551020 2.2273043 2.285714 1.0206207 2.326531 0.7184403 2.306122 0.6678349 2.469388 0.8684767 2.755102 0.8299250 2.612245 0.7307623 2.551020 0.7089083 3.061224 0.9444611 2.806122 0.7346791 2.102041 1.1225881 2.530612 1.0626626 2.316327 0.9281134 2.755102 0.8299250 2.204082 0.9124051 2.479592 0.5586366 73.59184 64.04082 2.7142857 1.632653 12.858069 32.43131 0.7905694 0.4870779
512 25 4.360000 1.7048949 1.840000 1.2138094 1.520000 0.7702813 1.680000 0.7483315 2.760000 0.9695360 3.560000 0.9165151 3.160000 0.8000000 3.480000 0.7141428 3.480000 0.9183318 3.480000 0.5099020 3.000000 1.0801234 2.400000 1.0801234 2.700000 0.9464847 3.280000 0.8426150 3.280000 0.7916228 3.280000 0.7371115 60.76000 63.52000 2.8400000 1.680000 15.119744 48.60566 0.7461010 0.4760952
513 33 2.909091 1.6271838 1.515151 0.8337120 2.212121 1.1390121 1.863636 0.7932600 2.727273 0.7612788 3.575758 0.6139169 3.151515 0.5793969 3.090909 0.8427498 3.333333 0.9574271 3.212121 0.7809280 2.878788 1.1112374 2.030303 1.2370542 2.454546 0.9467348 2.545454 1.1205721 2.939394 0.9333874 2.742424 0.8489075 49.54545 64.09091 2.8787879 1.666667 32.672705 35.85070 1.5960415 0.4787136
516 25 3.360000 1.7530925 2.000000 1.0000000 2.120000 1.0535654 2.060000 0.8817596 2.040000 0.9345231 3.200000 1.3540064 2.620000 0.9819199 3.600000 0.8660254 3.560000 0.9165151 3.580000 0.7729812 2.720000 1.0214369 2.360000 1.0754844 2.540000 0.9780934 2.200000 1.0801234 2.040000 0.9345231 2.120000 0.7399324 64.64000 62.04000 0.2400000 1.640000 13.576573 45.03191 0.8306624 0.4898979
518 25 3.360000 1.7048949 2.080000 1.1150486 1.920000 1.0770330 2.000000 0.8539126 2.880000 0.9712535 3.000000 1.1547005 2.940000 1.0136567 3.720000 1.0614456 3.160000 0.6244998 3.440000 0.7118052 2.760000 1.2342339 3.200000 0.7071068 2.980000 0.7141428 3.240000 0.5972158 2.560000 1.1210114 2.900000 0.6291529 66.52000 52.88000 2.5200000 1.640000 24.284975 37.43363 0.7702813 0.4898979
520 25 2.920000 1.9347696 1.920000 0.7593857 2.280000 0.9363048 2.100000 0.7071068 3.600000 0.7071068 3.480000 0.7702813 3.540000 0.5759051 3.840000 0.6879922 3.640000 0.9073772 3.740000 0.6940221 3.360000 1.1135529 2.720000 0.9797959 3.040000 0.9233093 3.080000 1.0770330 3.400000 0.7071068 3.240000 0.7788881 43.04000 56.44000 3.0000000 1.640000 24.130686 30.11517 0.0000000 0.4898979
521 25 2.880000 2.1855587 1.040000 0.2000000 1.200000 0.5000000 1.120000 0.3316625 2.560000 0.8205689 2.840000 0.6879922 2.700000 0.5204165 2.920000 0.8124038 2.560000 0.7118052 2.740000 0.6633250 2.320000 0.6904105 1.760000 0.9255629 2.040000 0.6910137 3.000000 0.8164966 2.080000 0.8621678 2.540000 0.6910137 58.08000 59.12000 2.5200000 1.640000 8.361220 29.94901 0.7141428 0.4898979
522 49 3.408163 1.0391978 2.204082 0.5766134 2.122449 0.4844521 2.163265 0.3289465 2.020408 0.4782693 2.387755 0.4922875 2.204082 0.3668328 2.061224 0.3167651 2.163265 0.3734378 2.112245 0.2934228 1.979592 0.4782693 2.040816 0.4982964 2.010204 0.4388645 2.224490 0.4215698 2.102041 0.3677011 2.163265 0.3127125 51.00000 52.69388 0.0000000 1.653061 9.931012 13.77680 0.0000000 0.4809288
524 14 2.785714 1.1217138 2.071429 0.6157279 1.857143 0.8644378 1.964286 0.5705694 2.571429 1.1578684 2.928571 1.1411388 2.750000 1.0515556 2.642857 0.6333237 2.928571 0.8287419 2.785714 0.5789342 2.642857 1.2774459 2.714286 0.8254203 2.678571 0.9528730 3.357143 0.9287827 3.000000 0.7844645 3.178571 0.7234305 68.42857 57.14286 2.4285714 1.571429 24.449994 51.35526 1.0894096 0.5135526
525 33 3.484849 1.9384467 1.727273 0.8012774 1.939394 0.8992842 1.833333 0.4448783 2.636364 0.8222751 2.757576 0.7084447 2.696970 0.7174106 2.939394 0.7044233 2.969697 0.7699370 2.954546 0.6657190 2.757576 0.9692234 2.454546 0.8325754 2.606061 0.5695060 2.484849 0.5657524 2.969697 0.9180430 2.727273 0.5167644 66.00000 59.87879 2.7878788 1.666667 12.750000 34.54866 0.9923953 0.4787136
530 25 2.720000 1.7445152 1.520000 0.8225975 1.680000 0.9882645 1.600000 0.7772816 2.520000 1.2288206 2.920000 1.1874342 2.720000 1.1094293 3.760000 0.8306624 3.920000 1.0770330 3.840000 0.8746428 2.600000 1.2909944 3.280000 1.3076697 2.940000 0.9716824 3.840000 1.0279429 2.400000 1.1547005 3.120000 0.9160604 55.84000 64.00000 0.0000000 1.680000 15.842138 34.83293 0.0000000 0.4760952
531 25 2.640000 1.6299284 1.680000 1.0295630 1.640000 1.0360180 1.660000 0.6244998 2.240000 0.7234178 2.600000 0.8660254 2.420000 0.6873864 2.840000 0.9865766 2.960000 0.9345231 2.900000 0.7637626 2.240000 1.0908712 2.760000 1.0115994 2.500000 0.9354143 3.320000 1.0692677 3.000000 0.9128709 3.160000 0.7461010 50.92000 59.92000 0.0000000 1.680000 5.369047 22.19031 0.0000000 0.4760952
535 25 3.840000 1.3441230 1.120000 0.3316625 1.360000 0.4898979 1.240000 0.2929733 2.920000 0.8124038 3.000000 0.7637626 2.960000 0.7205322 2.960000 0.6757712 2.680000 0.7483315 2.820000 0.6595453 2.680000 0.9000000 2.880000 0.8326664 2.780000 0.8046738 3.080000 0.9966611 2.800000 0.8660254 2.940000 0.8817596 57.56000 54.56000 3.3600000 1.680000 17.930607 24.19036 0.9521905 0.4760952
537 45 4.088889 1.4588635 1.733333 0.8893307 1.022222 0.1490712 1.377778 0.4542171 2.511111 0.7268307 2.888889 0.6816498 2.700000 0.6160726 2.533333 0.7261355 2.777778 0.5595814 2.655556 0.5918214 2.355556 0.7433204 2.377778 0.7473860 2.366667 0.6431457 2.733333 0.6875517 2.511111 0.5886125 2.622222 0.5346574 62.71111 66.20000 2.9555556 1.711111 13.339317 32.95286 0.9034166 0.4583678
538 25 2.200000 1.3228757 2.200000 1.0408330 1.880000 0.8812869 2.040000 0.8406347 2.440000 0.7681146 2.600000 0.8660254 2.520000 0.7427427 2.200000 1.2247449 3.000000 1.3540064 2.600000 1.1814539 2.280000 1.2423097 1.960000 1.0198039 2.120000 1.0436315 3.960000 1.0984838 2.240000 0.9255629 3.100000 0.7216878 40.68000 64.04000 2.4800000 1.640000 23.700774 29.00787 0.9183318 0.4898979
539 124 3.629032 1.8847602 1.774193 0.8442894 2.556452 0.9309705 2.165323 0.6976202 2.129032 0.8739011 2.838710 0.7368037 2.483871 0.7211539 2.516129 0.8113411 2.741935 0.8822640 2.629032 0.7265884 2.564516 1.0378365 2.306452 0.9809355 2.435484 0.8717978 2.822581 0.7440647 2.411290 0.9371475 2.616935 0.7383482 58.15323 53.69355 2.9758065 1.669355 18.462902 27.65501 0.9323779 0.4723540
540 25 2.240000 1.2342339 1.600000 0.8164966 2.080000 0.8621678 1.840000 0.7320064 3.560000 0.7681146 3.840000 0.7461010 3.700000 0.6770032 3.840000 0.7461010 3.360000 0.8602325 3.600000 0.6614378 3.200000 1.1180340 2.880000 1.0132456 3.040000 0.6910137 3.120000 1.0132456 2.600000 0.8164966 2.860000 0.6377042 83.04000 67.20000 3.1200000 1.720000 22.844547 39.12267 0.9273618 0.4582576
541 25 4.040000 1.9035055 2.040000 1.0198039 2.120000 1.0132456 2.080000 0.6720615 2.800000 1.0408330 3.440000 0.9609024 3.120000 0.9495613 2.280000 0.8426150 3.040000 0.6110101 2.660000 0.6075909 2.440000 1.0440307 2.640000 0.9949874 2.540000 0.8154753 3.200000 0.5773503 3.240000 0.8306624 3.220000 0.5787918 58.84000 59.52000 2.6400000 1.600000 14.305244 33.64907 0.7000000 0.5000000
543 50 2.800000 1.1952286 2.020000 1.0200040 2.100000 1.0151907 2.060000 0.7466934 2.680000 0.7677159 3.460000 0.8854838 3.070000 0.7354715 3.260000 0.8283251 4.000000 0.8081220 3.630000 0.7057345 3.160000 1.2674899 3.260000 0.9648940 3.210000 1.0156430 3.340000 1.0421720 3.280000 0.8091316 3.310000 0.8261665 66.72000 59.20000 2.4800000 1.620000 19.004876 35.91771 0.7068181 0.4903144
544 197 3.187817 1.8979726 1.355330 0.5764374 1.142132 0.3781015 1.248731 0.3373984 2.208122 0.5645434 2.365482 0.6534261 2.286802 0.5557936 2.218274 0.6292781 2.375634 0.6476135 2.296954 0.5797526 2.152284 0.7806051 1.730965 0.7516686 1.941624 0.6189140 2.598985 0.5772905 2.020305 0.7623767 2.309645 0.5651967 47.79188 68.75127 3.5177665 1.680203 13.105628 45.32709 0.5306322 0.4675860
546 25 2.960000 2.2263573 2.400000 0.9128709 1.040000 0.2000000 1.720000 0.4804512 2.960000 0.4546061 3.000000 0.2886751 2.980000 0.3055050 2.960000 0.3511885 3.040000 0.3511885 3.000000 0.3227486 2.960000 0.3511885 3.000000 0.0000000 2.980000 0.1755942 2.920000 0.4000000 3.080000 0.2768875 3.000000 0.2500000 49.76000 66.04000 0.6800000 1.680000 1.090871 44.98655 1.2819256 0.4760952
547 124 2.612903 1.9783777 2.629032 0.7805329 2.032258 0.7853898 2.330645 0.5480457 3.145161 0.7291107 3.274193 0.7895528 3.209677 0.7102524 2.733871 0.7337272 3.193548 0.8032193 2.963710 0.6960206 2.806452 0.8804786 2.612903 0.8430459 2.709677 0.7732751 2.645161 0.8759993 3.088710 0.8649648 2.866935 0.7837498 49.34677 61.83871 3.6209677 1.669355 14.877300 40.22384 0.7607521 0.4723540
549 24 2.166667 0.9630868 2.375000 1.2790112 1.541667 0.8836272 1.958333 0.6743220 2.208333 0.7790276 2.791667 0.9315329 2.500000 0.6915641 3.125000 0.7974143 3.083333 1.2128539 3.104167 0.9086441 1.958333 1.1220775 2.333333 0.9630868 2.145833 0.8905197 2.666667 0.6370221 2.083333 1.3160107 2.375000 0.8628819 69.00000 61.50000 1.2500000 1.666667 9.112819 27.78489 1.8474424 0.4815434
550 13 2.461539 1.5607362 2.230769 0.9268087 2.153846 1.2810252 2.192308 0.9473309 2.076923 1.3204506 2.615385 1.1929279 2.346154 1.1969513 1.923077 0.9540736 1.769231 0.9268087 1.846154 0.8987170 2.000000 1.1547005 2.000000 0.9128709 2.000000 0.9128709 1.692308 0.7510676 1.538461 0.8770580 1.615385 0.6817210 45.00000 53.76923 3.2307692 1.538461 34.899857 38.89977 1.1657506 0.5188745
552 25 2.880000 1.1661904 2.280000 0.8906926 2.120000 0.8326664 2.200000 0.8036376 2.360000 0.9521905 2.920000 0.9539392 2.640000 0.7000000 3.360000 0.9073772 3.520000 0.7702813 3.440000 0.6664583 2.440000 1.0033278 3.320000 0.7483315 2.880000 0.6812978 3.440000 0.5830952 2.800000 0.8164966 3.120000 0.6337718 64.68000 55.72000 1.5600000 1.640000 15.765786 36.91829 0.8698659 0.4898979
553 16 3.687500 2.4143667 2.375000 1.4548769 2.375000 1.0878113 2.375000 0.9916317 2.875000 0.9574271 3.375000 1.2583057 3.125000 0.9398581 3.375000 1.4548769 3.500000 1.3662601 3.437500 1.3149778 2.562500 1.5478480 2.687500 1.2500000 2.625000 1.1761519 3.812500 1.4244882 2.937500 1.3400871 3.375000 1.1328430 70.62500 59.87500 3.1250000 1.625000 17.742134 43.64993 0.9574271 0.5000000
554 25 3.400000 1.6583124 2.000000 1.1902381 2.200000 1.1547005 2.100000 0.9464847 2.560000 0.9165151 3.600000 1.2909944 3.080000 0.9966611 3.000000 0.9128709 3.120000 0.9273618 3.060000 0.6506407 2.880000 1.2013881 2.840000 1.2806248 2.860000 1.0360180 3.360000 1.1503623 2.640000 0.9521905 3.000000 0.8897565 73.68000 61.24000 2.2400000 1.640000 24.256820 40.26814 1.7625739 0.4898979
555 124 1.879032 1.1304560 1.983871 0.9875968 2.298387 0.9193479 2.141129 0.3907491 1.967742 0.7853898 2.112903 0.6772695 2.040323 0.6394763 2.024193 0.4501799 2.112903 0.6772695 2.068548 0.4523411 2.112903 0.6891691 2.153226 1.0747989 2.133065 0.7627210 2.153226 0.7440207 2.096774 0.8305092 2.125000 0.5653440 53.31452 58.81452 3.0725806 1.661290 25.468733 24.81259 0.7344417 0.4751910
558 25 2.960000 1.2741010 1.560000 0.8205689 1.560000 0.5830952 1.560000 0.5461990 3.120000 0.6658328 3.200000 0.5773503 3.160000 0.6075909 3.400000 0.7071068 3.400000 0.6454972 3.400000 0.5951190 3.040000 0.8406347 3.400000 0.7637626 3.220000 0.6782330 3.440000 0.5830952 3.440000 0.8205689 3.440000 0.5830952 75.36000 63.80000 2.7600000 1.640000 6.632496 48.84329 0.4358899 0.4898979
563 74 2.513514 1.4357781 1.689189 1.1458762 1.810811 0.9315722 1.750000 0.8034600 2.297297 0.8716184 2.905405 1.1246786 2.601351 0.8835627 3.270270 1.0764897 3.472973 1.0098552 3.371622 0.9933367 2.662162 0.9969409 3.094595 1.1246786 2.878378 1.0061823 3.270270 1.0243247 2.810811 1.0293724 3.040541 0.9499703 76.82432 63.67568 2.5945946 1.648649 23.167264 38.77300 0.7924112 0.4806512
564 124 2.967742 2.0118975 1.645161 0.8666687 1.395161 0.6223291 1.520161 0.4995900 2.838710 0.7477565 3.427419 0.8941853 3.133065 0.7653812 3.008065 0.8971134 3.330645 1.0018014 3.169355 0.7647921 2.467742 0.9747669 2.870968 1.0278064 2.669355 0.8762612 2.548387 0.7364476 3.024193 0.8309433 2.786290 0.6154296 67.76613 61.33871 2.4758065 1.661290 10.170984 37.75356 0.6307011 0.4751910
565 50 2.500000 1.4463183 2.200000 0.9035079 2.140000 0.9037338 2.170000 0.6670832 2.860000 0.7827216 2.720000 0.9267014 2.790000 0.6315675 3.560000 0.7045045 3.400000 0.7824608 3.480000 0.6223720 2.760000 0.9380832 2.700000 0.9091373 2.730000 0.7838289 3.300000 0.7889544 2.640000 0.9424241 2.970000 0.5925559 50.44000 65.82000 2.3800000 1.680000 4.945251 35.86522 1.3685983 0.4712121
569 25 3.920000 2.5806976 1.720000 0.8426150 2.360000 1.1135529 2.040000 0.8888194 2.520000 0.9626353 2.760000 1.1284207 2.640000 0.9738241 2.640000 0.9949874 2.680000 1.1075498 2.660000 1.0177590 2.360000 0.9949874 2.320000 0.8524475 2.340000 0.8000000 2.720000 1.2423097 2.280000 0.8906926 2.500000 1.0103630 51.96000 66.84000 3.4800000 1.640000 20.405228 40.54080 0.8225975 0.4898979
570 124 3.500000 1.8324092 1.032258 0.2184753 1.000000 0.0000000 1.016129 0.1092376 2.903226 0.9829386 3.290323 0.8436679 3.096774 0.8617373 3.064516 0.8529426 3.072581 0.8570453 3.068548 0.8247559 3.024193 0.9147723 1.830645 1.0098843 2.427419 0.8451044 2.975807 0.8309433 2.895161 0.7737413 2.935484 0.7516046 70.60484 67.33871 3.7983871 1.669355 9.665813 45.38667 0.5699784 0.4723540
571 99 2.646465 1.3117455 2.464647 1.2479627 2.444444 1.2390107 2.454546 1.0078541 2.434343 1.1619970 2.797980 1.3323280 2.616162 1.1491529 3.555556 0.9606781 3.040404 1.1058213 3.297980 0.9365569 2.131313 1.1396962 2.272727 1.3463343 2.202020 0.9791687 2.636364 1.1732959 2.292929 1.0996523 2.464647 0.9126451 56.01010 63.87879 2.9898990 1.666667 22.088179 37.84697 1.1472678 0.4738035
572 99 3.333333 1.9325356 1.868687 1.2424997 2.121212 1.3114311 1.994949 1.1528469 2.676768 1.1413229 3.242424 1.2784789 2.959596 1.1081258 2.444444 1.3110381 2.363636 1.3435754 2.404040 1.2178032 2.414141 1.1867474 2.222222 1.2980013 2.318182 0.9883364 2.777778 0.9319231 2.090909 1.1874420 2.434343 0.9193123 59.14141 57.85859 2.4343434 1.666667 33.885163 37.40048 1.2949006 0.4738035
576 16 2.875000 1.5864005 2.187500 1.1672618 2.375000 0.8062258 2.281250 0.5153882 3.187500 0.6551081 3.687500 0.6020797 3.437500 0.5439056 3.437500 0.5123475 3.375000 1.0246951 3.406250 0.6115213 3.312500 0.8732125 2.125000 1.0878113 2.718750 0.8750000 2.812500 0.7500000 3.437500 0.7274384 3.125000 0.4654747 61.18750 59.87500 3.5625000 1.625000 16.975350 30.78717 0.8139410 0.5000000
578 25 2.320000 1.4640128 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 2.120000 0.7257180 2.640000 0.9949874 2.380000 0.7942502 2.000000 0.6454972 2.920000 1.1150486 2.460000 0.7348469 2.120000 1.0132456 1.840000 0.9433981 1.980000 0.8597480 2.640000 0.7000000 2.360000 0.7000000 2.500000 0.6291529 73.96000 71.72000 0.9600000 1.720000 12.424707 39.21365 1.4282857 0.4582576
582 24 2.041667 0.9990938 2.750000 0.7939992 2.458333 0.7210600 2.604167 0.3605300 2.583333 0.5835921 2.791667 0.9315329 2.687500 0.6222767 2.458333 0.7790276 2.833333 0.7613870 2.645833 0.6338147 2.583333 0.8805466 1.750000 0.7939992 2.166667 0.7469746 2.166667 0.4815434 2.333333 0.4815434 2.250000 0.3296902 50.20833 67.04167 3.1250000 1.666667 33.937256 22.11920 1.3929169 0.4815434
588 24 2.416667 0.9286112 2.458333 0.7790276 1.958333 0.8064504 2.208333 0.5299029 2.916667 0.7172815 3.250000 0.6756639 3.083333 0.6197241 3.125000 1.0759223 3.291667 0.9078961 3.208333 0.8958439 3.083333 1.0598058 2.666667 1.0072203 2.875000 0.9237212 3.250000 0.9440892 3.041667 0.9990938 3.145833 0.8005320 49.08333 52.79167 0.2083333 1.666667 2.947610 27.60904 0.7210600 0.4815434
589 25 3.320000 1.3453624 2.400000 1.2247449 2.560000 0.9609024 2.480000 0.7285831 3.320000 0.8020806 3.360000 0.7000000 3.340000 0.6570134 3.320000 0.7483315 3.280000 0.8906926 3.300000 0.6770032 2.520000 1.3880442 3.000000 1.2247449 2.760000 1.1912878 3.760000 0.5972158 3.320000 0.9451631 3.540000 0.6601767 77.52000 66.60000 2.2000000 1.680000 11.485933 38.71046 1.0801234 0.4760952
599 24 2.041667 1.0826363 1.291667 0.5500329 2.000000 1.0215078 1.645833 0.5413182 3.166667 1.0901403 4.416667 0.5036102 3.791667 0.6902531 3.791667 0.9315329 4.083333 0.9743076 3.937500 0.8761638 3.000000 1.3187609 2.708333 1.1220775 2.854167 1.0782349 3.333333 1.2038585 3.416667 0.9743076 3.375000 0.7260674 80.20833 64.29167 2.5833333 1.666667 18.405999 33.42412 0.9743076 0.4815434
601 24 2.000000 0.8340577 1.750000 0.9440892 1.125000 0.3378320 1.437500 0.5769579 2.416667 0.8805466 3.125000 0.9918143 2.770833 0.7937140 2.500000 0.9325048 2.750000 0.9440892 2.625000 0.8242256 2.083333 0.8297022 3.416667 1.2128539 2.750000 0.9207747 3.041667 0.9545847 2.875000 0.8998792 2.958333 0.8958439 88.54167 63.62500 2.4166667 1.666667 19.739563 44.08866 1.1000659 0.4815434
603 124 3.741935 2.0986677 1.080645 0.3275128 1.000000 0.0000000 1.040323 0.1637564 2.556452 0.6783819 3.298387 0.6244326 2.927419 0.5128176 3.048387 0.6228030 3.153226 0.7104831 3.100807 0.5877470 2.233871 0.9803672 2.362903 0.6666831 2.298387 0.7068749 3.088710 0.6377309 2.153226 0.7440207 2.620968 0.5644300 67.19355 58.81452 1.6209677 1.661290 12.807313 30.34768 1.2336260 0.4751910
604 103 3.834951 1.7992214 2.155340 0.6679979 2.223301 0.8509745 2.189320 0.5606216 2.708738 0.7226187 3.184466 0.9155259 2.946602 0.7171315 2.951456 0.7843899 2.990291 0.9751334 2.970874 0.8189701 2.708738 0.8240392 2.407767 0.9944640 2.558252 0.5870371 2.592233 0.8097070 2.640777 0.8728404 2.616505 0.6831440 79.95146 57.75728 3.3592233 1.660194 12.661799 40.58626 0.5748720 0.4759593
605 18 2.944444 1.3048427 2.722222 1.6735153 2.777778 1.5924659 2.750000 1.3311870 2.833333 1.6890652 3.055556 1.5519332 2.944444 1.5707706 3.444444 1.2472191 3.555556 1.6528842 3.500000 1.0981267 2.666667 1.7822656 3.388889 1.4608172 3.027778 1.2540783 3.722222 1.0178152 2.111111 1.2782750 2.916667 0.7905694 65.77778 67.77778 2.3333333 1.666667 24.841984 32.80344 1.1375929 0.4850713
606 44 2.363636 1.4157077 2.159091 1.0102540 2.136364 0.8238003 2.147727 0.7668991 2.636364 0.9423106 3.022727 0.9997357 2.829546 0.8822750 2.772727 0.8030070 3.022727 0.8757359 2.897727 0.7966466 2.181818 1.0404097 2.136364 1.0474978 2.159091 0.9324432 2.840909 0.8053074 2.590909 1.0635216 2.715909 0.8517951 56.84091 53.18182 2.6818182 1.681818 21.349738 26.75059 0.5181688 0.4711553
607 25 4.600000 1.6583124 3.280000 0.6782330 3.120000 0.9273618 3.200000 0.5590170 3.240000 0.8306624 3.240000 1.0115994 3.240000 0.7234178 3.320000 1.0295630 3.200000 1.0408330 3.260000 0.9142392 3.120000 1.0132456 3.280000 0.9797959 3.200000 0.8660254 2.880000 0.9273618 2.720000 1.2083046 2.800000 0.8779711 23.40000 57.08000 2.4800000 1.600000 19.943671 40.42887 1.2288206 0.5000000
609 25 2.720000 1.4000000 1.280000 0.4582576 1.400000 0.6454972 1.340000 0.4010403 2.880000 0.8812869 3.560000 0.8698659 3.220000 0.8175166 3.600000 0.7637626 3.560000 1.0832051 3.580000 0.8376555 3.200000 1.0408330 3.120000 0.9273618 3.160000 0.8981462 3.640000 0.9521905 2.880000 0.7810250 3.260000 0.7234178 81.56000 63.24000 0.1600000 1.640000 17.680215 45.97488 0.5537749 0.4898979
610 25 3.600000 1.2247449 1.960000 0.9780934 1.320000 0.5567764 1.640000 0.5500000 3.400000 1.0000000 4.080000 1.1150486 3.740000 0.8431093 3.600000 1.2583057 3.640000 1.3190906 3.620000 1.2523312 2.840000 1.0677078 2.920000 1.3820275 2.880000 1.1481870 3.360000 1.1503623 2.960000 1.1357817 3.160000 0.9865766 56.60000 57.36000 3.1600000 1.600000 19.805302 29.46167 0.4725816 0.5000000
616 25 2.440000 0.8698659 1.960000 0.7895146 1.920000 0.9092121 1.940000 0.7404953 2.840000 0.7461010 2.840000 0.8981462 2.840000 0.7176350 3.120000 0.7810250 3.280000 0.8426150 3.200000 0.7359801 2.880000 0.8812869 2.560000 1.0033278 2.720000 0.8548879 2.960000 0.8406347 3.040000 0.5385165 3.000000 0.5204165 78.52000 68.96000 2.6400000 1.680000 9.946188 41.07258 1.0754844 0.4760952
617 25 3.080000 1.6563011 1.760000 0.9695360 1.000000 0.0000000 1.380000 0.4847680 2.440000 0.7681146 3.640000 0.7000000 3.040000 0.6442049 3.640000 0.7000000 3.720000 1.0614456 3.680000 0.7621242 2.640000 1.5242484 2.920000 1.4410644 2.780000 1.4074208 3.600000 0.9128709 3.040000 1.1357817 3.320000 0.8645808 48.56000 57.80000 0.0000000 1.600000 1.193035 46.34742 0.0000000 0.5000000
618 124 3.306452 1.3862121 2.572581 0.9298430 2.088710 0.9628219 2.330645 0.8162155 3.000000 0.8553989 3.112903 0.7008668 3.056452 0.6570743 3.145161 0.8619655 3.241935 0.8868595 3.193548 0.7454733 3.193548 0.9514851 3.064516 0.9689650 3.129032 0.8479314 3.435484 0.8856759 3.145161 0.7618287 3.290323 0.7131083 66.76613 66.91935 3.0322581 1.653226 20.008985 32.21033 1.1400719 0.4778739
620 24 1.750000 0.4423259 1.416667 0.6538625 1.250000 0.6756639 1.333333 0.5835921 2.500000 0.7223151 2.916667 0.8297022 2.708333 0.5882300 2.875000 0.7974143 2.625000 0.8242256 2.750000 0.7071068 2.458333 0.8329709 2.583333 0.9286112 2.520833 0.8005320 2.833333 0.8164966 2.625000 1.0134959 2.729167 0.7798992 53.00000 55.70833 3.1666667 1.666667 11.436022 23.98637 1.1293194 0.4815434
621 10 2.900000 2.2335821 2.400000 0.8432740 2.100000 1.1005049 2.250000 0.8249579 2.900000 0.9944289 3.400000 0.9660918 3.150000 0.9143911 3.800000 0.7888106 3.400000 1.0749677 3.600000 0.7745967 2.800000 1.1352924 3.700000 1.0593499 3.250000 0.6346478 3.700000 1.0593499 3.200000 1.4757296 3.450000 1.1654756 70.90000 52.40000 1.4000000 1.600000 14.379383 36.49718 1.5055453 0.5163978
623 202 3.782178 2.1699162 1.826733 0.7086377 1.396040 0.5568070 1.611386 0.4275571 2.301980 0.6786701 2.584158 0.8013338 2.443069 0.6487466 2.153465 0.6239123 2.311881 0.7170680 2.232673 0.5511831 1.430693 0.7646731 1.727723 0.7262825 1.579208 0.6036072 2.405941 0.6491973 2.168317 0.6920919 2.287129 0.5410812 47.40099 54.08416 1.3415842 1.668317 15.538192 25.43293 1.5151485 0.4719876
624 74 2.648649 1.2434203 1.770270 0.6933598 1.608108 0.5186275 1.689189 0.4113351 3.378378 0.4882932 3.513514 0.5032291 3.445946 0.4500195 3.527027 0.5026770 3.472973 0.5026770 3.500000 0.4532984 2.770270 0.6313130 2.500000 0.6025062 2.635135 0.5253655 3.608108 0.4915050 2.851351 0.7154352 3.229730 0.3985349 84.97297 59.40541 3.0135135 1.635135 4.663977 37.26908 0.2022641 0.4846782
625 26 2.153846 1.2866175 2.115385 1.1428709 3.038461 0.9992305 2.576923 0.7027419 2.500000 1.3638182 2.538461 1.2721877 2.519231 1.2039997 2.538461 0.9478721 3.269231 1.1156233 2.903846 0.9057509 2.730769 1.1851647 2.461539 1.3922864 2.596154 1.0199925 2.461539 1.0288156 2.769231 0.9511127 2.615385 0.7524320 58.30769 73.15385 1.5769231 1.653846 22.536671 24.01615 1.5276931 0.4851645
626 32 1.781250 0.7063936 1.625000 0.7931155 1.031250 0.1767767 1.328125 0.4327216 1.937500 0.8775883 2.750000 0.9158109 2.343750 0.7770654 2.781250 1.1565905 2.781250 1.0696510 2.781250 0.9832263 2.250000 1.1639754 2.031250 1.0920349 2.140625 1.0643366 2.687500 0.9979818 2.406250 1.1319231 2.546875 0.9701960 69.84375 75.25000 0.7187500 1.750000 28.450420 36.30516 1.0846250 0.4399413
628 41 2.536585 1.2267347 1.317073 0.4711170 1.121951 0.3312946 1.219512 0.2749723 2.146342 0.3578390 2.390244 0.5421277 2.268293 0.4046227 2.560976 0.5499446 2.707317 0.6018265 2.634146 0.4876524 2.536585 0.5957164 2.707317 0.6420242 2.621951 0.5452120 3.268293 0.5488347 2.804878 0.7816493 3.036585 0.5851308 75.90244 77.70732 2.2926829 1.756098 20.622566 34.12641 1.1455109 0.4347694
629 25 2.840000 1.3441230 2.440000 0.8698659 2.120000 0.6000000 2.280000 0.6137318 2.800000 0.6454972 2.720000 0.7916228 2.760000 0.6633250 3.200000 0.7071068 3.160000 0.8000000 3.180000 0.6103278 2.640000 0.8103497 2.760000 0.9695360 2.700000 0.7359801 3.160000 0.8000000 2.560000 0.5066228 2.860000 0.5500000 69.80000 61.76000 3.2000000 1.640000 19.514951 47.39575 1.1180340 0.4898979
630 124 3.911290 2.0242919 1.491936 0.7380040 1.580645 0.8371144 1.536290 0.7548579 4.524193 0.7376485 4.532258 0.7482824 4.528226 0.6934725 4.677419 0.5341719 4.661290 0.5541726 4.669355 0.5015711 4.104839 1.0106631 4.225807 0.8248056 4.165323 0.8475737 4.669355 0.5368044 4.596774 0.7426535 4.633064 0.5064979 83.76613 64.48387 3.4274194 1.653226 16.039133 45.93925 0.7004457 0.4778739
631 19 3.947368 1.7786913 2.000000 0.8164966 1.631579 0.4955946 1.815789 0.4775669 2.947368 0.5242650 3.368421 0.7608859 3.157895 0.4426132 3.368421 0.6839856 3.473684 0.6966923 3.421053 0.5836465 3.000000 0.5773503 2.894737 0.6578363 2.947368 0.5501196 3.368421 0.7608859 2.842105 0.7647191 3.105263 0.6987876 76.15789 68.94737 2.5263158 1.736842 17.496867 32.69807 0.6117753 0.4524139
633 25 2.000000 0.7071068 2.240000 0.6633250 2.000000 0.5773503 2.120000 0.5057997 2.560000 0.7681146 2.440000 0.6506407 2.500000 0.5204165 2.440000 0.5830952 2.440000 0.5066228 2.440000 0.3905125 2.560000 0.7118052 2.600000 0.5000000 2.580000 0.4252450 2.480000 0.5099020 2.320000 0.4760952 2.400000 0.3535534 49.92000 56.60000 2.3600000 1.760000 16.293966 23.52835 1.0754844 0.4358899
634 25 3.440000 2.4846194 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 3.320000 1.1445523 3.840000 0.9433981 3.580000 0.9647970 3.800000 1.0408330 3.840000 1.2138094 3.820000 1.0885771 3.640000 1.1860298 3.440000 1.1930353 3.540000 1.1539786 3.640000 1.2543258 3.240000 1.2342339 3.440000 1.1930353 67.96000 61.12000 2.4400000 1.640000 15.254726 43.06035 0.6506407 0.4898979
635 25 3.320000 2.5935818 2.040000 1.0198039 2.520000 1.2622731 2.280000 0.6137318 3.440000 1.0033278 3.360000 1.2543258 3.400000 1.0103630 3.800000 0.9574271 3.680000 1.0692677 3.740000 0.9142392 2.960000 0.9780934 3.960000 1.2409674 3.460000 0.8025999 3.800000 0.9574271 3.160000 1.1060440 3.480000 0.7427427 89.80000 63.92000 2.6400000 1.720000 10.507934 34.89737 0.6377042 0.4582576
636 103 3.291262 1.9384200 1.339806 0.7350257 1.864078 1.1118660 1.601942 0.7776259 2.533981 0.8724041 2.718447 0.7972683 2.626214 0.7881427 3.009709 1.0617701 2.951456 1.1663471 2.980583 1.0822143 2.631068 1.2125996 2.504854 1.2900356 2.567961 1.2046652 3.058252 1.0080581 3.019417 1.0570082 3.038835 0.8392612 67.93204 67.06796 3.0194175 1.640777 20.377449 39.89355 0.8853999 0.4821189
638 124 2.588710 1.7484585 1.274193 0.4657141 1.032258 0.1774015 1.153226 0.2483885 2.395161 0.8440952 2.669355 0.8036682 2.532258 0.7879735 1.951613 0.5536991 2.072581 0.6004522 2.012097 0.5389832 1.919355 0.9422061 1.895161 0.9611862 1.907258 0.6994973 2.725807 0.8865637 2.330645 0.7294254 2.528226 0.6696147 56.61290 62.55645 2.8951613 1.661290 28.986318 37.97502 0.9611862 0.4751910
639 16 1.875000 0.7187953 2.437500 1.3149778 2.750000 1.6124515 2.593750 1.1286976 3.562500 1.2093387 3.062500 1.3889444 3.312500 1.1814539 3.250000 1.1254629 3.562500 1.0935416 3.406250 0.7122441 2.312500 0.9464847 3.062500 1.2365948 2.687500 0.8139410 2.750000 1.0645813 3.750000 1.2382784 3.250000 0.9486833 46.37500 50.43750 0.0625000 1.625000 40.287095 29.33478 0.2500000 0.5000000
640 124 2.991935 1.7413945 1.693548 0.8850834 1.217742 0.6932952 1.455645 0.6564629 3.451613 1.1711633 3.766129 1.0676992 3.608871 1.0132466 3.298387 1.1260395 3.411290 1.1894666 3.354839 1.0721421 2.830645 1.3356998 2.653226 1.3006837 2.741935 1.0941156 3.080645 1.3165413 2.709677 1.2989939 2.895161 1.1121542 59.17742 62.69355 1.5080645 1.661290 27.673782 33.29620 1.6552256 0.4751910
642 124 2.709677 1.9950108 1.741936 1.0349264 1.653226 0.8069249 1.697581 0.4972222 2.588710 0.7545213 3.016129 0.8833038 2.802419 0.7512011 3.024193 0.7376485 3.338710 0.6853531 3.181452 0.6386427 2.233871 0.7112210 2.701613 1.0893411 2.467742 0.7775873 3.298387 0.7961272 3.016129 0.8360172 3.157258 0.5925243 60.62097 60.46774 0.9274194 1.653226 17.303880 40.58183 1.2762584 0.4778739
643 124 2.975807 2.2540432 1.250000 0.4347694 1.137097 0.3453448 1.193548 0.2970702 3.838710 0.6424938 4.250000 0.6065362 4.044355 0.5667340 3.862903 0.6906422 3.879032 0.6450908 3.870968 0.6242751 3.483871 0.5628596 3.129032 0.6621932 3.306452 0.5207471 3.443548 0.9309705 3.451613 0.5609927 3.447581 0.5767111 58.83065 65.10484 2.8548387 1.653226 28.100494 41.05575 0.4887939 0.4778739
644 24 3.541667 0.7790276 2.833333 1.3077251 1.875000 1.1156008 2.354167 1.0371278 2.916667 1.0179548 3.166667 1.2394482 3.041667 0.9431292 3.208333 1.1025333 3.041667 1.2328534 3.125000 0.9354143 3.208333 1.1412871 3.041667 1.2676293 3.125000 0.9118781 3.041667 1.2676293 3.083333 1.0598058 3.062500 0.9361403 67.12500 66.08333 2.3333333 1.708333 30.025080 41.60572 0.4815434 0.4643056
645 10 2.600000 1.3498971 1.600000 0.6992059 1.300000 0.4830459 1.450000 0.5502525 2.300000 0.8232726 3.100000 0.8755950 2.700000 0.7888106 2.900000 1.3703203 3.600000 1.2649111 3.250000 1.2747549 2.300000 1.2516656 2.400000 1.7126977 2.350000 1.3343746 2.900000 1.1005049 2.100000 0.9944289 2.500000 0.9718253 81.00000 55.70000 3.5000000 1.600000 21.343747 21.18202 1.1785113 0.5163978
647 124 3.064516 1.2280061 2.072581 1.0372994 1.854839 0.9256380 1.963710 0.7548579 3.201613 1.1685572 3.959677 1.0153232 3.580645 0.9614249 2.750000 1.1660858 3.088710 1.3374657 2.919355 1.0248678 2.475807 1.3218840 2.233871 1.2238077 2.354839 1.0096570 2.838710 1.0232031 2.403226 1.1037214 2.620968 0.9092366 55.20968 63.43548 3.1370968 1.645161 17.516670 36.45673 0.8198223 0.4804055
649 49 2.612245 0.8615956 1.326531 0.5548181 1.163265 0.4255848 1.244898 0.4463095 2.469388 0.7665410 2.530612 0.7665410 2.500000 0.6846532 2.428571 0.5773503 2.489796 0.6494372 2.459184 0.5667592 2.530612 0.5810207 2.489796 0.5817520 2.510204 0.5447648 2.591837 0.6095889 2.714286 0.5400617 2.653061 0.4809288 59.32653 64.02041 3.4081633 1.632653 15.800037 32.15489 0.4965870 0.4870779
652 25 2.720000 2.1315096 2.440000 1.0440307 2.840000 1.1060440 2.640000 0.8602325 3.480000 0.6531973 3.480000 0.7702813 3.480000 0.6204837 3.440000 0.8698659 3.200000 0.9574271 3.320000 0.6904105 3.320000 0.8020806 3.080000 1.1518102 3.200000 0.7637626 3.160000 0.8981462 3.160000 0.9433981 3.160000 0.7599342 70.28000 63.20000 1.0400000 1.680000 10.466295 35.28928 1.2741010 0.4760952
654 49 4.244898 2.2687241 2.163265 1.1962953 1.326531 0.6578929 1.744898 0.6544913 2.897959 0.7969969 3.122449 0.6656029 3.010204 0.6574081 3.183673 0.7548032 3.142857 0.7905694 3.163265 0.7172557 2.489796 1.0432811 3.040816 0.9345049 2.765306 0.8785763 3.244898 0.6931394 2.918367 0.6719603 3.081633 0.5714286 74.02041 59.97959 3.0000000 1.673469 12.963876 36.95633 0.8897565 0.4738035
655 25 2.680000 2.3223551 1.520000 0.6531973 1.280000 0.4582576 1.400000 0.4564355 2.720000 0.7916228 2.880000 0.9273618 2.800000 0.8291562 3.000000 0.8660254 2.760000 0.8306624 2.880000 0.8072587 3.000000 1.1902381 2.760000 0.7788881 2.880000 0.9160604 3.280000 0.8906926 2.800000 0.8164966 3.040000 0.8154753 59.84000 62.48000 3.1600000 1.680000 16.717456 35.28470 0.6244998 0.4760952
656 25 2.760000 2.2412794 2.040000 1.0198039 1.920000 1.0770330 1.980000 0.9069179 3.040000 1.2741010 3.040000 1.3063945 3.040000 1.1982626 2.800000 0.8164966 3.080000 1.0376255 2.940000 0.7947746 3.040000 1.2409674 2.680000 0.9451631 2.860000 0.7708221 3.040000 1.0598742 3.400000 1.4142136 3.220000 1.1463711 71.80000 67.16000 2.9600000 1.680000 21.851773 31.61840 0.8888194 0.4760952
659 15 3.733333 3.0814344 1.866667 1.0600988 1.400000 0.6324555 1.633333 0.6672616 3.333333 1.0465362 3.333333 0.9759001 3.333333 0.9193683 2.866667 0.9904304 2.866667 1.3020131 2.866667 1.0258562 3.066667 1.3345233 2.666667 1.7593289 2.866667 1.4200939 2.533333 0.9904304 2.800000 1.1464230 2.666667 0.8380817 66.53333 76.00000 2.0666667 1.800000 13.141356 29.84244 1.1629192 0.4140393
660 25 3.520000 2.4852901 1.880000 1.1661904 1.440000 0.7118052 1.660000 0.7868714 2.280000 0.7916228 3.240000 1.0519823 2.760000 0.8431093 3.080000 0.8124038 3.000000 1.0408330 3.040000 0.8406347 1.880000 0.8812869 2.280000 0.9797959 2.080000 0.7729812 2.800000 0.9128709 2.360000 1.3190906 2.580000 0.9861541 47.52000 60.36000 2.7600000 1.680000 20.538825 42.99698 1.1647603 0.4760952
662 28 3.357143 2.0586635 2.214286 0.9946949 1.464286 0.8380817 1.839286 0.7941169 2.964286 1.0708993 3.678571 0.9833266 3.321429 0.9643102 3.000000 0.7200823 3.250000 0.8443713 3.125000 0.7021791 1.821429 0.9449112 2.321429 0.8189230 2.071429 0.5563486 2.857143 0.7559289 2.321429 0.8629652 2.589286 0.6390614 60.57143 65.39286 2.8214286 1.714286 18.703196 35.68207 0.9449112 0.4600437
664 124 3.016129 1.5512066 3.112903 0.9213782 2.443548 1.0065026 2.778226 0.7738154 2.556452 0.7358687 2.798387 0.7322961 2.677419 0.6723141 2.701613 0.7961272 2.911290 0.9457831 2.806452 0.8330317 2.250000 0.9072876 1.991936 0.8695010 2.120968 0.7553898 2.564516 0.8385230 2.572581 0.7669323 2.568548 0.5889728 75.32258 64.73387 2.9435484 1.653226 19.181439 40.69860 0.5885412 0.4778739
668 25 3.480000 1.8956090 2.560000 1.0832051 2.080000 1.0376255 2.320000 0.5930149 2.480000 1.0847427 2.440000 1.0832051 2.460000 1.0400321 3.160000 0.8981462 3.160000 0.9865766 3.160000 0.7868714 2.600000 1.3228757 2.880000 1.0535654 2.740000 1.0115994 3.080000 1.2556539 2.480000 0.8717798 2.780000 0.9473648 52.48000 51.20000 2.4400000 1.560000 22.448311 23.62202 1.3564660 0.5066228
669 25 4.240000 2.4542480 1.640000 0.7571878 1.760000 0.9255629 1.700000 0.4082483 2.440000 0.9165151 2.280000 0.8906926 2.360000 0.8103497 2.800000 0.8660254 2.840000 0.8504901 2.820000 0.7621242 2.240000 0.8306624 2.680000 1.0295630 2.460000 0.7059273 2.480000 0.8717798 2.200000 0.9574271 2.340000 0.6570134 61.56000 53.48000 3.2400000 1.560000 18.828347 32.02489 0.7788881 0.5066228
670 25 3.760000 1.7146428 2.080000 1.5253415 1.880000 1.1298968 1.980000 0.8225975 2.440000 1.2935739 3.160000 1.0677078 2.800000 1.0897247 3.160000 1.1060440 3.240000 1.3000000 3.200000 1.1180340 2.200000 1.2583057 2.360000 1.5242484 2.280000 1.1554220 2.920000 1.1150486 2.720000 1.4583095 2.820000 1.2322067 47.76000 60.52000 0.6800000 1.560000 25.831634 38.30918 1.2819256 0.5066228
671 25 2.680000 1.5198684 1.800000 1.0408330 1.960000 0.7895146 1.880000 0.5642104 2.640000 0.8602325 2.960000 1.0984838 2.800000 0.8897565 2.160000 0.9865766 2.200000 1.0000000 2.180000 0.9340771 2.040000 0.8406347 2.160000 1.1789826 2.100000 0.9574271 2.560000 0.9165151 2.440000 1.3253930 2.500000 0.9242114 64.96000 46.12000 0.0000000 1.560000 20.135955 35.45810 0.0000000 0.5066228
672 124 2.830645 1.4800669 2.443548 0.7247362 2.112903 0.7984709 2.278226 0.5569313 3.435484 0.7127405 3.750000 0.8127540 3.592742 0.6994973 2.895161 0.6352587 3.298387 0.9193479 3.096774 0.6737754 2.564516 0.7987993 2.596774 0.8734508 2.580645 0.7766592 3.459677 0.7798185 2.903226 0.7147614 3.181452 0.6386427 61.72581 64.43548 2.7419355 1.653226 23.824336 32.67386 0.8152108 0.4778739
674 74 2.797297 1.7825619 2.581081 0.9216833 2.229730 0.8528325 2.405405 0.4431803 3.081081 0.8561903 3.337838 0.7635000 3.209459 0.7585438 3.445946 0.8780722 3.621622 0.9750687 3.533784 0.8453381 2.689189 0.7388565 2.608108 0.9336564 2.648649 0.6009680 3.459459 0.7619224 2.810811 0.9461628 3.135135 0.6789259 63.77027 61.82432 3.1891892 1.635135 13.214300 39.31620 0.7526333 0.4846782
677 124 2.975807 2.1918686 1.580645 0.6759128 1.516129 0.6179414 1.548387 0.4746387 2.524193 0.6803121 3.024193 0.8010533 2.774193 0.6906896 2.790323 0.7785143 2.645161 0.9558851 2.717742 0.8070873 2.225807 0.5074840 2.177419 0.8069655 2.201613 0.5444448 2.725807 0.7023620 2.354839 0.6141098 2.540323 0.4579771 72.21774 59.95161 2.7177419 1.653226 16.743673 31.05014 0.6694311 0.4778739
678 25 3.520000 2.5839247 2.040000 1.2069245 1.440000 0.7681146 1.740000 0.7921490 2.080000 0.9092121 3.000000 1.0000000 2.540000 0.8650626 3.280000 0.8906926 3.520000 1.0456258 3.400000 0.9354143 1.920000 1.1874342 3.000000 1.5000000 2.460000 0.7762087 3.360000 0.8103497 2.240000 1.0519823 2.800000 0.7772816 38.88000 66.52000 1.3200000 1.640000 29.237989 46.16557 1.3453624 0.4898979
679 11 2.454546 1.8090681 2.363636 0.9244163 2.363636 0.6741999 2.363636 0.6360389 2.272727 1.1908744 2.818182 0.7507572 2.545454 0.9070431 3.090909 1.0444659 2.363636 1.0269106 2.727273 0.9839623 2.363636 1.0269106 2.727273 1.1037127 2.545454 0.9341987 2.727273 0.6466698 2.727273 0.9045340 2.727273 0.6842381 57.54545 55.09091 3.1818182 1.545454 27.536752 40.39419 1.1677484 0.5222330
680 124 3.879032 1.7371725 1.701613 0.7541736 1.669355 0.7067822 1.685484 0.4392702 2.451613 0.5892649 2.838710 0.5897098 2.645161 0.5170829 2.161290 0.6550256 2.153226 0.7440207 2.157258 0.6482213 2.112903 0.8085888 1.927419 0.7669323 2.020161 0.6759492 2.153226 0.7330120 2.153226 0.7967858 2.153226 0.6872161 85.55645 62.57258 3.5241935 1.653226 6.810206 39.75089 0.5173998 0.4778739
682 25 3.960000 1.8814888 2.000000 1.0000000 1.800000 0.8164966 1.900000 0.5400617 2.360000 0.6377042 2.800000 0.8164966 2.580000 0.6563790 2.200000 0.7071068 2.200000 0.7637626 2.200000 0.6614378 2.120000 1.0132456 2.400000 1.2247449 2.260000 1.0218447 2.840000 0.7461010 2.800000 1.0801234 2.820000 0.7483315 60.76000 58.28000 2.6400000 1.560000 17.687755 42.51227 0.8103497 0.5066228
683 99 3.080808 2.0784451 1.696970 0.9417152 1.505051 0.8375589 1.601010 0.7070339 1.959596 0.8441780 2.717172 0.8456419 2.338384 0.7687396 3.212121 0.8952565 3.323232 0.8430785 3.267677 0.8460989 2.252525 1.0136158 2.606061 1.1677484 2.429293 0.7457707 2.909091 0.7836454 1.919192 0.9111192 2.414141 0.6963476 48.19192 65.91919 1.7373737 1.646465 25.109831 45.97241 1.5292112 0.4805000
684 25 4.880000 2.1855587 2.440000 0.8205689 2.120000 0.9273618 2.280000 0.6626965 2.440000 0.8205689 3.400000 1.0000000 2.920000 0.8376555 2.960000 0.7895146 3.240000 1.2000000 3.100000 0.9013878 2.640000 1.2206556 3.000000 1.1902381 2.820000 0.9115006 3.200000 1.0000000 2.400000 1.2247449 2.800000 0.7071068 66.36000 55.40000 2.4800000 1.560000 18.062115 38.78144 1.2948616 0.5066228
686 24 2.000000 0.6593805 2.083333 0.8805466 1.708333 0.9990938 1.895833 0.8072924 2.875000 1.0347232 3.416667 1.0179548 3.145833 0.9146057 2.875000 0.8501918 3.333333 1.3726099 3.104167 1.0318743 3.041667 1.3981095 2.791667 1.2150923 2.916667 1.1000659 3.250000 0.9890707 3.333333 1.2394482 3.291667 0.9431292 77.66667 68.41667 2.6666667 1.666667 15.724992 37.03220 0.4815434 0.4815434
687 25 3.240000 2.2412794 2.960000 1.3063945 1.640000 0.9073772 2.300000 1.0307764 2.680000 1.0295630 3.840000 0.8981462 3.260000 0.8180261 3.280000 1.0214369 3.400000 1.0801234 3.340000 0.8864724 2.440000 1.1575837 2.040000 1.0598742 2.240000 0.9907909 3.600000 0.9128709 2.800000 1.0000000 3.200000 0.8291562 63.64000 51.48000 1.4000000 1.520000 30.939295 45.76035 1.1547005 0.5099020
688 25 4.200000 2.0000000 1.600000 1.0408330 1.280000 0.5416026 1.440000 0.6006940 1.920000 0.8124038 2.160000 0.8504901 2.040000 0.8025999 2.400000 0.6454972 2.680000 0.8020806 2.540000 0.6910137 1.920000 0.7593857 1.840000 0.6244998 1.880000 0.6000000 1.560000 0.5830952 2.240000 0.7788881 1.900000 0.5951190 48.24000 54.04000 0.0000000 1.560000 18.086090 39.85127 0.0000000 0.5066228
689 38 2.500000 1.7514473 2.342105 1.3808794 1.842105 1.1746492 2.092105 0.9575819 2.421053 1.2221288 3.526316 1.3302477 2.973684 1.1386773 3.447368 1.3294455 2.973684 1.5507076 3.210526 1.4076604 2.526316 1.2678316 2.842105 1.5858550 2.684210 1.2380295 3.500000 1.3506755 2.684210 1.4906060 3.092105 1.2673406 47.76316 60.00000 2.2105263 1.552632 35.383180 40.55693 1.8910585 0.5038966
690 50 3.680000 1.8564834 1.320000 0.4712121 1.280000 0.4535574 1.300000 0.3499271 2.680000 0.5126960 3.060000 0.3730733 2.870000 0.3615443 2.560000 0.6749150 2.900000 0.7626484 2.730000 0.6244181 2.380000 1.0279760 2.240000 0.9160697 2.310000 0.9196827 2.380000 0.9452351 2.260000 0.7774894 2.320000 0.7743332 60.82000 59.18000 3.2200000 1.620000 14.216532 29.46440 0.4646702 0.4903144
695 25 2.480000 2.1236761 2.640000 1.5513435 3.720000 1.3076697 3.180000 1.1715375 2.640000 1.5779734 2.680000 1.6258331 2.660000 1.4268263 3.320000 1.5737429 3.520000 1.3576941 3.420000 1.1874342 2.600000 1.5000000 3.040000 1.5673757 2.820000 1.1803954 2.560000 1.3868429 2.400000 1.1547005 2.480000 0.8836477 55.48000 59.08000 3.1200000 1.720000 35.551746 32.73113 1.3012814 0.4582576

Descriptive Statistics

Age

df_demo %>%
  group_by(role) %>%
  summarise(n = n(), 
            m_age = round(mean(age),2),
            sd_age = round(sd(age),2),
            md_age = median(age),
            min = min(age),
            max = max(age)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width(everything() ~ px(75)) %>%
  cols_align("center")
role n m_age sd_age md_age min max
listener 1171 38.23 11.91 36 18 78
speaker 197 35.01 14.29 29 18 70 
df_demo %>%
  ggplot(aes(age, fill = role)) +
  geom_density(alpha = .7) +
  theme_minimal() +
  labs(x = "Age",
       title = "Distribution of Participants' Ages") +
  theme(plot.title = element_text(hjust = .5)) + 
  scale_fill_brewer(palette = "YlGnBu")

Sex

df_demo %>%
  group_by(role, sex) %>%
  summarise(n = n()) %>%
  mutate(percent = round(n/sum(n)*100, 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width(everything() ~ px(100)) %>%
  cols_align("center")
sex n percent
listener
female 850 72.59
male 321 27.41
speaker
female 135 68.53
male 62 31.47 
df_demo %>%
  group_by(role, sex) %>%
  summarise(n = n()) %>%
  #create within group percentages
  mutate(percent = round(n/sum(n)*100,2)) %>%
  ungroup() %>%
  as_tibble() %>%
  #graph
  ggplot(aes(role, percent, fill = sex)) + 
  geom_bar(position = "stack", stat = "identity") +
  theme_minimal() +
  labs(title = "Assigned Sex at Birth for Speakers and Listeners",
       x = "Role in Study",
       y = "Percent") +
  coord_flip() +
  theme(plot.title = element_text(hjust = .5),
        legend.position = "bottom",
        axis.title.y = element_blank(),
        axis.text = element_text(face = "bold", size = 12)) + 
  scale_fill_brewer(palette = "YlGnBu") + 
  guides(fill = guide_legend(reverse = T))

Gender

df_demo %>%
  select(ID, role, sex, gender) %>%
  mutate(gender_expansive = case_when(
    sex == gender ~ "No",
    sex != gender ~ "Yes"
  )) %>%
  group_by(role, gender_expansive) %>%
  summarise(n = n()) %>%
  mutate(percent = round(n/sum(n)*100, 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width("gender_expansive" ~ px(150),
             everything() ~ px(100)) %>%
  cols_align("center")
gender_expansive n percent
listener
No 1133 96.75
Yes 38 3.25
speaker
No 190 96.45
Yes 7 3.55 


df_demo %>%
  select(ID, role, sex, gender) %>%
  group_by(role, gender) %>%
  summarise(n = n()) %>%
  mutate(percent = round(n/sum(n)*100, 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width("gender" ~ px(150),
             everything() ~ px(100)) %>%
  cols_align("center")
gender n percent
listener
agender 1 0.09
agenderflux 1 0.09
Demigirl 3 0.26
female 825 70.45
male 324 27.67
nonbinary 16 1.37
queer 1 0.09
speaker
agender 1 0.51
female 130 65.99
genderqueer 1 0.51
male 62 31.47
nonbinary 3 1.52

Race

df_demo %>%
  select(ID, role, starts_with("race_")) %>%
  pivot_longer(race_w:race_NotAnswered, 
               names_to = "race",
               names_prefix = "race_",
               values_to = "response") %>%
  mutate(race = case_when(
    race == "w" ~ "White",
    race == "h" ~ "Hispanic / Latine",
    race == "b" ~ "Black / African American",
    race == "a" ~ "Asian",
    race == "na" ~ "Native American / Alaskan Native",
    race == "pi" ~ "Hawaiian / Pacific Islander",
    race == "o" ~ "Other",
    race == "pnts" ~ "Prefer not to say",
    race == "NotAnswered" ~ "Not Answered"
  )) %>%
  filter(response == 1) %>%
  group_by(role, race) %>%
  summarise(n = n()) %>%
  arrange(desc(n)) %>%
  mutate(percent = round(n/sum(n)*100, 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width("race" ~ px(250),
             everything() ~ px(70)) %>%
  cols_align("center")
race n percent
listener
White 851 72.67
Black / African American 118 10.08
Hispanic / Latine 91 7.77
Asian 57 4.87
Native American / Alaskan Native 25 2.13
Other 17 1.45
Hawaiian / Pacific Islander 6 0.51
Prefer not to say 6 0.51
speaker
White 157 79.70
Asian 18 9.14
Black / African American 10 5.08
Hispanic / Latine 6 3.05
Native American / Alaskan Native 3 1.52
Other 2 1.02
Prefer not to say 1 0.51

Note: Percents may add up to >100 as participants could select multiple options.

Personality Traits

The distribution of the current sample’s mean scores on the BFAS’ aspect-level traits.

df_demo %>%
  select(ID, role, Withdrawal:Int.Open,
         #Remove Big 5
         -Neuroticism, -Agreeableness, - Conscientiousness, -Extraversion, -Int.Open) %>%
  pivot_longer(Withdrawal:Openness,
               names_to = "Trait",
               values_to = "Score") %>%
  ggplot(aes(Score, fill = role)) + 
  xlim(1,5)+
  labs(title = "Distribution of Participants' Aspect-Level Traits")+
  theme_minimal()+
  geom_density(alpha = .5) +
  facet_wrap(~factor(Trait, #Coerce ~Trait but as a factor in the specified order
                     c("Withdrawal", "Volatility", "Compassion", "Politeness",
                       "Industriousness", "Orderliness", "Enthusiasm", "Assertiveness",
                       "Intellect", "Openness")),
             ncol = 5) + 
  scale_fill_brewer(palette = "YlGnBu") + 
  theme(strip.text = element_text(face = "bold"),
        plot.title = element_text(hjust = .5))

df_demo %>%
  select(ID, role, Withdrawal:Int.Open,
         #Remove Big 5
         -Neuroticism, -Agreeableness, - Conscientiousness, -Extraversion, -Int.Open) %>%
  pivot_longer(Withdrawal:Openness,
               names_to = "Trait",
               values_to = "Score") %>%
  mutate(Trait = factor(Trait, c("Withdrawal", "Volatility", 
                                                      "Compassion", "Politeness",
                       "Industriousness", "Orderliness", 
                       "Enthusiasm", "Assertiveness",
                       "Intellect", "Openness"))) %>%
  group_by(Trait, role) %>%
#  group_by(Trait, role) %>%
  summarise(Mean = round(mean(Score),2),
            SD = round(sd(Score), 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width("role" ~ px(250),
             everything() ~ px(75)) %>%
  cols_align("center")
role Mean SD
Withdrawal
listener 2.96 0.81
speaker 2.86 0.73
Volatility
listener 2.74 0.83
speaker 2.59 0.71
Compassion
listener 3.96 0.64
speaker 4.26 0.52
Politeness
listener 3.96 0.55
speaker 3.98 0.48
Industriousness
listener 3.42 0.72
speaker 3.34 0.69
Orderliness
listener 3.59 0.61
speaker 3.61 0.64
Enthusiasm
listener 3.36 0.69
speaker 3.74 0.68
Assertiveness
listener 3.22 0.72
speaker 3.48 0.68
Intellect
listener 3.82 0.62
speaker 3.79 0.57
Openness
listener 3.92 0.59
speaker 3.94 0.59

CES-D Scores

df_demo %>%
  group_by(role) %>%
  summarise(m_cesd = round(mean(cesd.total),2),
            sd_cesd = round(sd(cesd.total),2),
            med_cesd = median(cesd.total)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width(everything() ~ px(100)) %>%
  cols_align("center")
role m_cesd sd_cesd med_cesd
listener 17.15 16.46 11
speaker 13.40 12.85 10 
df_demo %>%
  ggplot(aes(cesd.total, fill = role)) + 
  labs(title = "Distribution of Participants' CES-D Sum Scores")+
  theme_minimal()+
  geom_density(alpha = .5) +
  scale_fill_brewer(palette = "YlGnBu") + 
  theme(strip.text = element_text(face = "bold"),
        plot.title = element_text(hjust = .5))

Ratings

Note: Listeners who made <10 ratings were removed during data processing. These listeners represent people who started making ratings but did not complete at least one full module of speech samples to rate.

Listener Ratings

Distribution of ratings made by listeners

df_LRs %>%
  summarise(Mean_ratings = round(mean(n_ratings),2),
            SD_ratings = round(sd(n_ratings),2),
            MD_ratings = median(n_ratings),
            Min = min(n_ratings),
            Max = max(n_ratings)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width(everything() ~ px(120)) %>%
  cols_align("center")
Mean_ratings SD_ratings MD_ratings Min Max
28.58 31.6 19 10 222 
df_LRs %>%
  ggplot(aes(n_ratings)) + 
  geom_density() + 
  theme_minimal() + 
  geom_vline(xintercept = 10, linetype = "dashed") + 
  labs(title = "Distribution of Ratings Made by Listeners",
       caption = "Dashed line represents 10 ratings,\nthe minimum number of ratings a listener\nneeded to complete to be included in the current analysis") + 
  theme(plot.title = element_text(hjust = .5))

Ratings Each Speaker Received

Number of ratings each speaker received (values manually entered d/t loading the entire rating file is rather large)

# Using only three columns from the listener rating DF - otherwise it becomes too much to load over 33,500 observations quickly

# listenerRatings <- read_csv("df_ListenerRatings_all_2024.01.30.csv",
#                              guess_max = 2000) %>%
#   select(speaker_id, listener_id, LM, r.age) %>%
#   #remove the "duplicate" speakers
#   filter(!str_detect(speaker_id, "Duplicate"))
# 
# listenerRatings %>%
#   group_by(speaker_id) %>%
#   summarise(n = n()) %>%
#   summarise(Mean_received = round(mean(n),2),
#             SD_received = round(sd(n),2),
#             Med_received = median(n),
#             Min = min(n),
#             Max = max(n)) %>%
#   gt() %>%
#   tab_options(table.align = "center") %>%
#   cols_width(everything() ~ px(150)) %>%
#   cols_align("center")
# listenerRatings %>%
#   group_by(speaker_id) %>%
#   summarise(n = n()) %>%
#   ggplot(aes(n)) +
#   geom_density() + 
#   theme_minimal() + 
#   labs(x = "Number of Ratings",
#        title = "Distribution of N Ratings\nEach Speaker Received") + 
#   theme(plot.title = element_text(hjust = .5))

Number of ratings each speaker received:

Mean = 151.1

SD = 21.2

Median = 147

Minimum = 107

Maximum = 183

Distribution of Ratings

For each speaker, listeners rated how high/low they perceived that speaker on the respective trait.

We then calculated the average and SD for each listeners’ ratings across ALL speakers they rated. I.e., we are less interested in a listener’s individual rating of a speaker, and more interested in their overall rating behaviors, regardless of the characteristics of the speaker.

We repeated this process for age, attractiveness, sex, SES, and masculinity/femininity

df_LRs %>% 
  head(200) %>% #only display 200 rows
  select(-ends_with(".conf")) %>% #confidence ratings not used in current analysis
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "300px")
listener_id n_ratings m_age sd_age m_withdrawn sd_withdrawn m_volatile sd_volatile m_neuroticism sd_neuroticism m_compassionate sd_compassionate m_polite sd_polite m_agreeableness sd_agreeableness m_industrious sd_industrious m_orderly sd_orderly m_conscientiousness sd_conscientiousness m_enthusiastic sd_enthusiastic m_assertive sd_assertive m_extraversion sd_extraversion m_intellectual sd_intellectual m_open sd_open m_openint sd_openint m_attractive m_gender m_ses m_sex sd_attractive sd_gender sd_ses sd_sex
356 74 3.729730 2.0956399 2.621622 1.1786073 2.824324 0.9702155 2.722973 0.7221633 3.040541 0.8980830 3.108108 0.8035464 3.074324 0.7055671 3.756757 0.7367238 3.837838 0.8762784 3.797297 0.6969548 2.743243 1.0211572 3.040541 1.1157550 2.891892 0.8245807 3.513514 0.7806433 2.797297 0.8755387 3.155405 0.6352956 58.39189 57.52703 2.9054054 1.635135 10.340528 31.29586 0.7433526 0.4846782
357 17 2.352941 0.9963167 1.823529 0.6359338 1.235294 0.5622957 1.529412 0.3737725 2.823529 0.3929526 2.941177 0.2425356 2.882353 0.2186187 2.882353 0.3321056 3.117647 0.7812132 3.000000 0.4677072 2.647059 0.9314757 2.705882 0.7717436 2.676471 0.8089572 3.176471 0.5285941 2.764706 0.7524470 2.970588 0.5144958 56.58824 54.00000 2.4705882 1.588235 8.054958 25.94224 0.7174301 0.5072997
358 74 2.391892 1.8492321 3.175676 1.3584652 1.891892 1.0799235 2.533784 0.4988417 2.243243 0.9905141 3.391892 1.3118800 2.817568 0.9600739 3.608108 1.0703676 3.243243 1.4879499 3.425676 0.9781252 2.297297 1.2898947 2.527027 1.4355847 2.412162 1.1508130 3.391892 1.1799416 2.094595 1.1124319 2.743243 0.7905401 69.59459 58.71622 2.9594595 1.635135 19.752523 31.32574 0.6711101 0.4846782
360 99 3.747475 2.2147162 2.222222 0.8275308 2.464647 0.7044050 2.343434 0.5375989 2.656566 0.5743073 2.707071 0.7178842 2.681818 0.5123702 2.696970 0.5431305 2.737374 0.6789226 2.717172 0.5109096 2.222222 0.6476891 2.343434 0.7974656 2.282828 0.5721496 2.838384 0.6807420 2.414141 0.5891901 2.626263 0.4862572 53.48485 58.66667 2.9090909 1.606061 11.956864 30.13135 0.8816833 0.4911083
362 24 3.625000 1.0134959 3.541667 1.0623668 3.041667 0.8586727 3.291667 0.6240935 3.208333 1.1787675 3.541667 1.0623668 3.375000 0.4720446 3.416667 1.0598058 3.500000 0.9780193 3.458333 0.6902531 3.666667 1.2038585 3.583333 1.1389036 3.625000 0.5160468 3.541667 1.0206207 3.375000 1.0959411 3.458333 0.5694518 81.08333 65.95833 3.0000000 1.625000 7.008794 36.30844 0.0000000 0.4945354
363 15 3.000000 1.5118579 1.266667 0.5936168 1.866667 0.9904304 1.566667 0.7037316 2.600000 0.7367884 3.133333 0.6399405 2.866667 0.6399405 2.800000 0.5606119 2.600000 0.9856108 2.700000 0.7020379 2.266667 0.8837151 2.200000 1.0823255 2.233333 0.9036961 3.266667 0.7988086 2.600000 0.9856108 2.933333 0.7988086 70.20000 65.73333 2.4000000 1.600000 14.482502 28.67669 0.9102590 0.5070926
365 24 3.416667 1.3160107 1.375000 0.7696696 1.791667 0.7790276 1.583333 0.6702801 2.541667 0.5882300 3.000000 0.8340577 2.770833 0.5893837 4.833333 0.4815434 4.791667 0.7210600 4.812500 0.5067479 2.875000 1.0347232 2.500000 1.0632191 2.687500 0.8573531 3.125000 0.8501918 3.375000 1.0134959 3.250000 0.8209221 87.83333 63.75000 2.9166667 1.625000 8.478447 44.52283 0.5036102 0.4945354
367 86 3.430233 1.5304032 3.081395 0.9847677 2.767442 0.7304216 2.924419 0.6255230 3.058139 1.0100047 2.848837 0.8611544 2.953488 0.6399812 3.069767 0.8372321 3.104651 0.9207295 3.087209 0.5593687 3.139535 0.8965659 2.872093 1.0034823 3.005814 0.6206931 3.116279 0.9383164 3.011628 0.8608366 3.063954 0.5466288 56.79070 57.02326 2.0348837 1.639535 18.050332 21.41356 1.2965808 0.4829515
370 24 2.166667 1.2038585 1.333333 0.8681147 1.041667 0.2041241 1.187500 0.4376941 3.541667 1.1412871 3.750000 1.0320937 3.645833 1.0051948 3.833333 1.0072203 3.708333 1.1220775 3.770833 1.0105871 3.041667 1.3981095 3.875000 1.2269616 3.458333 1.1412871 3.916667 0.8805466 3.708333 1.0417029 3.812500 0.7490937 86.45833 64.37500 3.4166667 1.625000 12.890776 47.02341 0.7172815 0.4945354
371 24 3.208333 1.5874280 1.583333 0.7755316 1.458333 0.5882300 1.520833 0.5208514 2.666667 0.7019641 3.083333 0.7172815 2.875000 0.6468990 2.875000 0.7408867 2.958333 0.8586727 2.916667 0.7469746 2.583333 0.9286112 2.416667 1.0598058 2.500000 0.8209221 2.750000 0.7939992 1.958333 0.8064504 2.354167 0.5800893 70.83333 62.29167 3.2916667 1.625000 14.913276 48.06561 0.9078961 0.4945354
374 49 3.183673 1.4241001 1.816326 1.1845089 1.428571 1.0408330 1.622449 1.0079404 2.102041 1.0457234 2.795918 1.2579678 2.448980 1.0618621 2.795918 1.2579678 3.224490 1.3112543 3.010204 1.1923794 2.428571 1.3070323 2.877551 1.4808873 2.653061 1.2041771 3.367347 1.2860449 2.265306 1.5380658 2.816327 1.0241555 49.63265 65.30612 0.0408163 1.653061 2.166928 48.09288 0.1999149 0.4809288
375 24 3.250000 1.3909646 2.478261 0.9472239 2.750000 1.0733936 2.565217 0.6793103 1.916667 1.0598058 1.291667 0.6902531 1.604167 0.5512667 1.166667 0.3806935 1.166667 0.6370221 1.166667 0.4584157 1.208333 0.5089774 1.250000 0.6079188 1.229167 0.4657665 1.291667 0.7506036 1.083333 0.2823299 1.187500 0.4848240 14.95833 58.50000 0.2500000 1.625000 23.755053 46.88283 0.8968544 0.4945354
376 49 2.591837 1.2062056 2.877551 1.6282999 2.693878 1.4606517 2.785714 1.3844373 2.775510 1.3884240 3.408163 1.4421969 3.091837 1.2105159 3.510204 1.0824827 3.591837 1.1711527 3.551020 0.9695623 2.734694 1.4968788 2.612245 1.4974468 2.673469 1.3484212 4.061224 0.9221389 2.816327 1.4530639 3.438776 0.9050360 78.24490 57.97959 3.3469388 1.632653 15.554381 37.97340 1.1823532 0.4870779
377 24 1.916667 0.7172815 2.333333 0.9168313 1.333333 0.4815434 1.833333 0.6019293 2.291667 0.7506036 2.875000 0.3378320 2.583333 0.4340574 2.958333 0.4643056 2.791667 0.5882300 2.875000 0.4484272 2.291667 0.8586727 1.500000 0.7801895 1.895833 0.7220015 1.875000 0.9469631 1.666667 0.7613870 1.770833 0.7798992 49.79167 55.75000 3.6666667 1.625000 1.531670 22.68355 0.8681147 0.4945354
378 24 2.291667 0.9545847 1.166667 0.3806935 1.291667 0.6240935 1.229167 0.3605300 2.958333 0.8064504 3.333333 0.8164966 3.145833 0.7442412 3.291667 0.9078961 3.583333 0.9743076 3.437500 0.8636689 2.166667 0.7613870 2.666667 1.2038585 2.416667 0.7613870 3.375000 0.4945354 2.916667 0.8805466 3.145833 0.5413182 62.41667 57.50000 2.5833333 1.625000 22.276751 28.55049 0.8805466 0.4945354
379 99 4.212121 1.2878770 3.535353 1.3117455 3.414141 0.8922581 3.474747 0.6522087 3.494950 0.9832655 3.545454 1.1717136 3.520202 0.7211074 3.747475 0.9829509 3.737374 1.0059604 3.742424 0.5730496 3.626263 0.9957651 3.858586 1.0102546 3.742424 0.6323088 3.717172 1.0105606 3.818182 1.0533100 3.767677 0.6750402 70.91919 58.41414 2.9494949 1.626263 20.684548 40.37478 0.8252858 0.4862572
381 24 2.041667 1.3666578 1.500000 0.7801895 2.083333 0.4082483 1.791667 0.4643056 3.000000 0.7801895 2.750000 0.7372098 2.875000 0.6634888 3.625000 0.7109394 3.500000 0.7801895 3.562500 0.6964584 3.333333 0.7613870 2.750000 0.7372098 3.041667 0.5500329 2.750000 0.7939992 2.666667 0.7613870 2.708333 0.7210600 66.16667 63.37500 2.9166667 1.625000 15.315995 40.97912 0.8805466 0.4945354
382 24 2.250000 1.3593477 2.291667 1.1220775 2.208333 0.9770927 2.250000 0.7223151 2.833333 0.7019641 3.375000 0.8242256 3.104167 0.7067865 3.166667 0.8164966 3.000000 0.7801895 3.083333 0.6538625 2.666667 1.0072203 3.041667 0.9545847 2.854167 0.8905197 2.666667 0.8681147 2.541667 0.7790276 2.604167 0.5706435 54.00000 61.08333 3.0833333 1.583333 16.839395 32.18684 0.8805466 0.5036102
384 124 3.991935 1.7783521 1.717742 0.8512113 1.685484 0.8000705 1.701613 0.6981956 3.306452 0.7563006 3.451613 0.8958335 3.379032 0.7307724 3.250000 0.6940514 3.088710 0.8065998 3.169355 0.6011070 2.822581 0.8463061 2.838710 0.8301934 2.830645 0.6011070 3.225807 0.8048502 2.975807 0.8785031 3.100807 0.6895852 69.77419 64.50806 2.3467742 1.637097 26.375906 44.44134 1.5775063 0.4827879
385 124 4.354839 2.3930575 1.701613 1.0279021 1.766129 1.1341619 1.733871 1.0407070 3.169355 1.0179029 3.362903 0.8956505 3.266129 0.7767859 3.298387 0.9455057 3.266129 0.9636387 3.282258 0.8747635 3.379032 0.9925965 3.161290 1.0698157 3.270161 0.9226138 3.314516 0.8201421 3.362903 1.0541029 3.338710 0.7926194 71.64516 65.79032 2.7258065 1.645161 21.389608 45.80664 0.9225161 0.4804055
387 74 2.405405 1.7666540 1.821918 0.9623823 1.486487 0.8796519 1.657534 0.8286398 2.824324 0.9702155 3.324324 0.9524030 3.074324 0.8977996 2.864865 0.7643481 3.189189 0.8548921 3.027027 0.6666821 2.621622 1.1189856 2.621622 0.9319695 2.621622 0.9356370 2.972973 0.7758861 2.824324 0.8497882 2.898649 0.5732611 74.98649 65.45946 3.6756757 1.635135 23.436591 39.06341 0.7604632 0.4846782
388 49 2.530612 1.7212161 2.551020 1.0420577 2.489796 1.1747774 2.520408 0.9069132 3.551020 0.7377111 4.142857 0.7359801 3.846939 0.6471418 3.877551 0.8811132 3.836735 1.0477543 3.857143 0.9185587 3.448980 0.8180573 2.877551 1.0334540 3.163265 0.7387190 3.000000 0.7359801 2.857143 0.7905694 2.928571 0.7144345 83.24490 62.89796 2.6734694 1.632653 11.029375 33.48149 0.5911766 0.4870779
389 182 3.862637 2.2759443 2.065934 1.0060831 1.769231 0.8678025 1.917582 0.6823090 2.450550 1.0486902 2.835165 0.9890420 2.642857 0.9584913 2.747253 0.7737889 2.972527 0.7755327 2.859890 0.6529880 2.038461 1.0211324 2.423077 1.1573046 2.230769 0.8135852 2.736264 0.7556076 2.192308 1.1031578 2.464286 0.7321272 63.04945 56.31868 3.0769231 1.648352 18.162641 31.48143 0.7613708 0.4788021
390 25 2.360000 1.1860298 1.400000 0.5773503 1.200000 0.4082483 1.300000 0.3227486 2.920000 0.7023769 3.440000 0.9609024 3.180000 0.7053368 3.600000 0.7071068 3.720000 0.9797959 3.660000 0.7599342 2.480000 1.0456258 2.600000 0.8660254 2.540000 0.7488881 3.600000 0.9128709 2.760000 0.9695360 3.180000 0.8020806 62.52000 56.56000 3.0400000 1.640000 17.750868 29.12342 0.8406347 0.4898979
391 25 3.040000 1.0984838 1.520000 0.9626353 1.080000 0.2768875 1.300000 0.5204165 2.800000 0.9574271 3.400000 1.1547005 3.100000 0.8539126 1.800000 1.1902381 3.280000 1.1733144 2.540000 0.8154753 3.120000 1.0923980 3.440000 1.1575837 3.280000 0.9903703 3.360000 0.9521905 3.320000 0.9000000 3.340000 0.7029699 69.00000 58.36000 1.2800000 1.680000 15.814023 31.32475 0.9797959 0.4760952
392 24 3.875000 1.0759223 2.500000 0.9325048 1.666667 0.9630868 2.083333 0.8030738 2.791667 0.5882300 3.166667 0.7019641 2.979167 0.5208514 3.083333 0.9286112 2.916667 1.0598058 3.000000 0.8846517 3.208333 0.8836272 2.958333 0.8586727 3.083333 0.7469746 2.958333 1.1220775 3.000000 1.0215078 2.979167 0.8782290 72.25000 62.54167 2.0000000 1.625000 18.594646 49.39898 0.7801895 0.4945354
395 10 3.000000 1.4142136 2.700000 0.6749486 2.800000 0.4216370 2.750000 0.4859127 2.900000 0.3162278 2.900000 0.3162278 2.900000 0.3162278 2.900000 0.3162278 2.800000 0.4216370 2.850000 0.3374743 2.600000 0.5163978 2.800000 0.4216370 2.700000 0.4216370 3.000000 0.4714045 2.800000 0.4216370 2.900000 0.3944053 62.10000 56.70000 1.3000000 1.500000 20.819062 24.56307 1.1595018 0.5270463
398 37 3.054054 1.9285277 2.432432 1.0419144 2.864865 0.9764494 2.648649 0.6221029 3.324324 0.7473678 3.135135 0.9475747 3.229730 0.6077577 3.405405 0.7622867 3.081081 1.0104558 3.243243 0.6731107 3.675676 1.0288628 3.189189 1.2875005 3.432432 1.0617214 3.162162 0.8979456 3.459459 0.9004503 3.310811 0.6598753 56.72973 54.89189 2.9459459 1.594595 14.433081 26.97919 0.7798129 0.4977427
399 75 4.053333 2.0982189 1.453333 0.7762232 1.360000 0.7285676 1.406667 0.5370926 2.960000 0.8127365 3.320000 0.8877545 3.140000 0.7001930 2.906667 0.9468773 3.053333 1.0383632 2.980000 0.9206343 2.693333 0.9582266 2.653333 1.0716662 2.673333 0.8756979 3.320000 0.7911675 2.293333 0.8663894 2.806667 0.7065970 77.29333 54.60000 2.2133333 1.626667 12.983121 30.07154 1.8548208 0.4869467
400 24 3.125000 0.7974143 2.333333 0.7019641 1.125000 0.4484272 1.729167 0.5103104 2.750000 0.6079188 2.875000 0.8998792 2.812500 0.5067479 2.833333 0.8164966 2.958333 0.7506036 2.895833 0.5706435 2.916667 0.8805466 3.041667 0.8064504 2.979167 0.4995469 3.291667 0.8586727 3.125000 0.7974143 3.208333 0.5694518 71.50000 66.66667 2.2916667 1.625000 15.466654 48.15434 0.8064504 0.4945354
401 124 3.411290 1.2097981 2.758065 0.9488630 2.572581 0.7344417 2.665323 0.5548082 3.072581 0.8758122 2.854839 0.8989022 2.963710 0.5849515 3.088710 0.8835635 3.016129 0.9193836 3.052419 0.6337992 3.040323 0.9052619 2.943548 0.9902157 2.991935 0.6895971 3.209677 0.7355568 3.241935 0.9228003 3.225807 0.5959035 67.23387 46.19355 2.6854839 1.653226 21.538436 28.63953 0.7583351 0.4778739
402 75 4.080000 1.6986481 1.853333 0.9400019 1.826667 0.9353903 1.840000 0.7761652 2.626667 0.8182601 2.640000 1.0984018 2.633333 0.6990985 2.853333 1.1353453 2.960000 0.8291969 2.906667 0.7383937 2.946667 1.0766983 3.133333 0.9491580 3.040000 0.7744222 2.613333 1.2180327 2.586667 1.0146672 2.600000 0.8891235 59.61333 64.73333 2.0133333 1.640000 13.024814 41.27113 1.1088506 0.4832324
403 124 4.370968 1.7736451 1.693548 1.0373310 2.370968 1.1438613 2.032258 0.5400314 2.750000 0.8127540 3.903226 0.6677149 3.326613 0.5336039 3.951613 0.7635480 3.798387 0.7648778 3.875000 0.6202052 3.572581 1.2041486 3.500000 1.0000000 3.536290 0.9735807 3.161290 0.7143944 3.040323 0.8779058 3.100807 0.6278750 78.58871 64.38710 3.0564516 1.637097 15.065716 42.62995 1.6245195 0.4827879
404 124 2.411290 1.5618006 1.475807 0.7038074 1.306452 0.6269998 1.391129 0.4879044 3.306452 0.8378973 3.508065 0.7808268 3.407258 0.7660662 3.000000 0.6115421 3.427419 0.8280979 3.213710 0.5884159 3.024193 0.7700038 3.080645 0.9335375 3.052419 0.7264418 3.548387 0.6420855 2.508065 0.9239010 3.028226 0.6158556 80.00000 63.87903 0.0322581 1.637097 8.374370 47.44301 0.3592106 0.4827879
405 25 5.080000 1.9561868 2.040000 0.9345231 1.920000 0.8621678 1.980000 0.7836879 2.880000 0.7257180 2.520000 0.8225975 2.700000 0.6123724 2.640000 0.5686241 2.400000 0.6454972 2.520000 0.4890467 2.960000 0.9345231 2.480000 0.5859465 2.720000 0.5220153 2.480000 0.6531973 2.920000 0.8124038 2.700000 0.5204165 55.56000 58.00000 3.0400000 1.640000 18.239335 35.56684 0.7895146 0.4898979
407 99 2.777778 1.8213897 1.838384 1.0172700 1.444444 0.6884206 1.641414 0.6430175 4.060606 0.8785213 4.202020 0.8204006 4.131313 0.7811094 4.505051 0.6757269 4.606061 0.6359660 4.555556 0.5709323 3.656566 0.9810617 3.878788 0.9177693 3.767677 0.8216246 4.656566 0.5182706 4.080808 0.9441200 4.368687 0.6412116 82.56566 68.01010 2.0303030 1.656566 11.717910 32.71382 1.4808612 0.4772715
408 49 3.510204 1.9052827 2.000000 0.8416254 1.632653 0.7272631 1.816326 0.5835762 3.367347 0.8825597 3.448980 0.9587584 3.408163 0.7949939 3.632653 1.0546302 3.367347 1.1671525 3.500000 1.0000000 3.183673 1.3795149 3.244898 1.3923992 3.214286 1.1133658 3.367347 0.6980293 3.163265 0.9431096 3.265306 0.6854290 66.89796 56.93878 2.7551020 1.612245 14.806030 33.16713 1.0109940 0.4922875
410 49 2.836735 1.6117658 1.795918 0.9995747 1.836735 1.0072020 1.816326 0.7266782 2.163265 1.1609432 2.918367 0.9317710 2.540816 0.8154545 2.510204 1.0231172 2.244898 1.0514001 2.377551 0.7874710 2.673469 1.0875767 2.081633 1.0961435 2.377551 0.8449027 1.897959 0.9627413 2.408163 1.1350178 2.153061 0.8490441 67.02041 56.46939 2.8979592 1.673469 17.036101 26.36214 0.5861206 0.4738035
411 50 2.920000 2.3197466 2.140000 0.6064282 1.840000 0.9337220 1.990000 0.5391793 2.820000 0.8964784 3.240000 0.9806287 3.030000 0.8595799 2.880000 0.8722479 2.960000 1.1598733 2.920000 0.9111554 2.960000 0.8071113 2.420000 0.9278019 2.690000 0.7415510 2.680000 0.9354689 2.400000 0.8571429 2.540000 0.7879190 58.64000 50.78000 2.9400000 1.620000 15.783950 37.10839 0.8184106 0.4903144
412 76 2.750000 1.6010413 1.947368 0.6087087 2.171053 0.7190393 2.059210 0.4616428 2.736842 0.5743035 3.197368 0.5169071 2.967105 0.4642954 2.644737 0.7430379 2.921053 0.8908896 2.782895 0.7453658 2.631579 0.6701663 2.447368 0.9985955 2.539474 0.7200146 2.302632 0.6736911 2.960526 0.7906249 2.631579 0.5559881 50.06579 59.28947 2.5394737 1.631579 9.246744 34.66634 1.0512315 0.4855816
413 15 3.000000 2.0701967 1.866667 0.9904304 1.466667 0.6399405 1.666667 0.6725927 2.666667 0.7237469 2.800000 0.6761234 2.733333 0.6229729 2.333333 0.4879500 2.666667 0.4879500 2.500000 0.3779645 2.533333 1.1872337 2.266667 0.4577377 2.400000 0.6035609 2.666667 0.4879500 2.466667 0.5163978 2.566667 0.3199702 62.20000 65.33333 2.8000000 1.666667 14.571008 39.80249 0.6761234 0.4879500
414 25 3.280000 1.8375709 2.520000 1.4753531 1.560000 0.8205689 2.040000 0.6601767 2.520000 0.8225975 2.640000 0.7000000 2.580000 0.6238322 2.520000 0.9183318 2.640000 1.0360180 2.580000 0.9318440 2.000000 1.0408330 2.040000 1.0984838 2.020000 1.0255080 2.480000 0.7702813 2.960000 1.0198039 2.720000 0.7648529 53.56000 59.36000 2.7600000 1.600000 6.364485 33.48492 0.6633250 0.5000000
416 25 4.680000 2.4785749 1.360000 0.8602325 1.400000 0.5000000 1.380000 0.5642104 3.200000 0.5773503 3.400000 0.7071068 3.300000 0.5951190 3.440000 1.0033278 3.440000 1.2274635 3.440000 1.0637982 2.880000 1.1298968 2.600000 1.1547005 2.740000 1.0012492 3.840000 0.8000000 3.000000 0.7637626 3.420000 0.6069047 61.44000 61.24000 2.2400000 1.600000 22.160550 48.82049 1.3625956 0.5000000
417 25 4.640000 1.0360180 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 3.040000 0.2000000 3.040000 0.2000000 3.040000 0.2000000 3.000000 0.0000000 3.000000 0.0000000 3.000000 0.0000000 3.040000 0.2000000 3.000000 0.0000000 3.020000 0.1000000 3.000000 0.0000000 3.000000 0.0000000 3.000000 0.0000000 67.80000 56.32000 0.0000000 1.600000 5.307228 27.82942 0.0000000 0.5000000
421 124 3.282258 1.1516018 2.072581 1.0054598 1.677419 0.7047849 1.875000 0.5581073 3.032258 0.7318035 3.209677 0.7785143 3.120968 0.7110366 3.048387 0.7309070 2.975807 0.8597949 3.012097 0.7113017 2.911290 0.9017787 2.967742 1.0275512 2.939516 0.8916796 3.145161 0.6463600 3.040323 0.7798185 3.092742 0.6226319 49.47581 58.12097 3.4758065 1.637097 4.605518 31.79753 0.8406706 0.4827879
422 25 3.760000 0.8793937 2.200000 0.5000000 2.080000 0.4000000 2.140000 0.2708013 2.440000 0.5066228 2.880000 0.6658328 2.660000 0.5147815 2.680000 0.6904105 3.040000 0.6757712 2.860000 0.6041523 2.600000 0.6454972 2.440000 0.5066228 2.520000 0.4890467 3.000000 0.5773503 2.600000 0.5000000 2.800000 0.4564355 82.32000 56.24000 2.6400000 1.600000 3.727376 37.25395 0.4898979 0.5000000
424 100 3.580000 2.4829927 1.370000 0.5800557 1.470000 0.7713952 1.420000 0.5304848 2.790000 1.1659738 3.200000 0.9101004 2.995000 0.9961922 3.200000 0.7784989 3.490000 0.7976607 3.345000 0.7443219 2.320000 1.1090081 2.380000 1.0519823 2.350000 0.7897705 2.900000 0.9156330 1.910000 0.8299325 2.405000 0.6501554 79.85000 63.38000 3.1900000 1.650000 17.608179 45.19850 0.7343657 0.4793725
425 24 3.625000 1.6100905 1.416667 0.5036102 2.041667 0.9545847 1.729167 0.6251811 2.333333 0.5646597 2.833333 0.6370221 2.583333 0.5450701 3.250000 0.6756639 3.041667 0.7506036 3.145833 0.5208514 2.791667 0.8836272 2.166667 1.0494995 2.479167 0.6164267 3.083333 0.7172815 2.166667 0.9168313 2.625000 0.6298723 61.50000 60.91667 1.8333333 1.625000 9.278306 28.42827 1.6061476 0.4945354
427 10 3.400000 1.7763883 2.100000 0.8755950 2.800000 1.1352924 2.450000 0.7245688 2.600000 0.9660918 3.100000 0.7378648 2.850000 0.7835106 3.200000 0.9189366 3.200000 0.7888106 3.200000 0.7888106 2.500000 1.0801234 3.000000 0.9428090 2.750000 0.9204468 3.500000 0.8498366 2.800000 0.9189366 3.150000 0.6687468 41.30000 51.10000 2.5000000 1.500000 20.336339 38.97991 0.8498366 0.5270463
428 124 3.959677 1.9059137 1.346774 0.6507576 1.266129 0.5995780 1.306452 0.4715899 3.806452 0.7722570 3.879032 0.7607521 3.842742 0.7418033 3.830645 0.8334645 3.814516 0.8682937 3.822581 0.8219389 3.354839 0.8282958 2.693548 1.0528893 3.024193 0.7673596 3.612903 0.8333464 3.709677 0.8532501 3.661290 0.7665475 74.60484 61.15323 3.4435484 1.629032 26.230318 40.79077 0.8770091 0.4850235
429 11 4.636364 1.2862914 4.090909 0.7006490 3.727273 0.9045340 3.909091 0.5393599 4.090909 0.8312094 3.727273 0.7862454 3.909091 0.4908249 4.545454 0.5222330 3.545454 0.9341987 4.045454 0.5222330 4.090909 1.0444659 4.090909 0.8312094 4.090909 0.6640099 4.090909 0.9438798 4.454546 0.6875517 4.272727 0.5640761 82.90909 62.27273 2.5454545 1.545454 8.949352 41.51407 0.6875517 0.5222330
433 24 3.416667 1.0179548 2.000000 0.7223151 1.916667 0.8297022 1.958333 0.6240935 2.333333 0.9168313 2.166667 0.9630868 2.250000 0.7518094 2.291667 0.6902531 2.000000 0.8340577 2.145833 0.5208514 2.125000 0.6796738 2.458333 0.8836272 2.291667 0.6412736 2.416667 0.5835921 2.708333 0.8586727 2.562500 0.6309499 55.12500 62.45833 2.5000000 1.583333 26.649598 45.57839 0.6593805 0.5036102
435 24 3.791667 1.8645239 1.666667 0.8164966 1.625000 0.9237212 1.645833 0.6507382 4.416667 0.6538625 4.541667 0.7790276 4.479167 0.6338147 4.333333 0.8164966 4.250000 0.8469896 4.291667 0.7506036 4.166667 0.8681147 3.458333 1.2150923 3.812500 0.7194880 3.708333 1.1220775 3.958333 1.0417029 3.833333 0.8805466 77.45833 63.87500 2.6250000 1.583333 13.554974 43.33220 0.9696481 0.5036102
436 50 2.840000 1.8990868 1.660000 0.8478063 1.760000 0.6565214 1.710000 0.5448273 3.060000 0.7117096 3.280000 0.7835034 3.170000 0.6194962 3.200000 0.6388766 3.300000 0.6468132 3.250000 0.5736564 2.940000 0.7117096 3.040000 0.8797031 2.990000 0.6427778 3.260000 0.5996598 2.960000 0.7273098 3.110000 0.4978525 80.98000 54.42000 2.7600000 1.620000 10.962813 37.69918 0.6565214 0.4903144
437 17 3.352941 1.7299269 1.882353 1.1114379 2.588235 1.1213175 2.235294 0.7524470 3.000000 1.2747549 2.941177 1.1974237 2.970588 1.1655282 3.941177 1.0289915 3.764706 1.5218990 3.852941 1.1694644 2.235294 1.2514697 3.176471 1.5506166 2.705882 1.0009187 2.764706 1.4374201 2.588235 1.2776357 2.676471 1.0744356 57.35294 53.17647 3.8235294 1.588235 30.779338 36.32533 0.7276069 0.5072997
439 24 3.041667 1.0417029 3.125000 0.4484272 2.958333 0.3586408 3.041667 0.2518051 3.291667 0.5500329 3.250000 0.4423259 3.270833 0.3605300 3.333333 0.5646597 3.208333 0.5089774 3.270833 0.4164855 3.458333 0.5882300 3.291667 0.5500329 3.375000 0.4720446 3.208333 0.5089774 3.291667 0.5500329 3.250000 0.2553770 59.25000 53.70833 2.1250000 1.666667 23.037304 29.03443 0.8998792 0.4815434
441 49 3.326531 1.8972321 1.714286 0.6770032 1.938775 0.8012533 1.826531 0.6085418 3.183673 0.8820778 3.244898 0.9901728 3.214286 0.8838835 3.346939 0.9025663 3.183673 0.8081220 3.265306 0.7977967 2.979592 0.8033730 3.224490 1.2292495 3.102041 0.7904350 3.469388 0.7388629 2.897959 0.9408528 3.183673 0.7121993 82.42857 61.63265 3.0612245 1.632653 12.974334 32.59262 0.7474446 0.4870779
442 50 3.600000 1.9794866 1.820000 1.1008346 2.280000 1.0887177 2.050000 0.8033730 2.620000 0.9010198 2.920000 0.9222864 2.770000 0.7838289 3.060000 0.8900814 3.080000 0.8290639 3.070000 0.7759786 2.920000 1.0466662 2.860000 1.0881552 2.890000 1.0216533 2.980000 0.8687312 2.820000 0.9189613 2.900000 0.8329931 71.52000 57.96000 0.9400000 1.620000 22.067836 31.65694 1.5038726 0.4903144
443 99 3.919192 2.2618250 1.595960 0.6986750 1.555556 0.6734350 1.575758 0.4810895 2.787879 0.6106659 3.080808 0.6173804 2.934343 0.5470070 2.969697 0.5431305 3.121212 0.7038194 3.045454 0.5582905 2.444444 0.8234103 2.797980 0.6848178 2.621212 0.6230722 2.737374 0.5990785 2.727273 0.6672848 2.732323 0.5638476 51.08081 57.40404 2.7474747 1.636364 8.293933 25.81169 0.8729896 0.4834938
445 24 1.708333 0.4643056 2.208333 0.8329709 1.833333 0.7613870 2.020833 0.6338147 2.708333 0.8064504 3.458333 0.8329709 3.083333 0.7019641 3.333333 0.8164966 3.208333 0.8836272 3.270833 0.7937140 2.583333 1.0598058 2.083333 1.1764599 2.333333 0.9048981 3.125000 0.9469631 3.125000 1.1156008 3.125000 0.9469631 56.12500 62.12500 2.3750000 1.625000 27.219418 40.30893 0.5757792 0.4945354
446 124 3.048387 1.5025985 1.403226 0.4925354 1.919355 0.3275128 1.661290 0.2959646 3.177419 0.6753305 3.362903 0.5309093 3.270161 0.5234314 3.500000 0.5630925 3.612903 0.5802954 3.556452 0.4694300 2.927419 0.6647132 2.766129 0.7225617 2.846774 0.4945944 3.266129 0.5426354 3.088710 0.7436681 3.177419 0.4471843 61.61290 59.84677 3.3548387 1.629032 7.857170 33.76630 0.4804055 0.4850235
447 124 3.951613 1.8950292 2.548387 1.4725391 2.137097 1.3515103 2.342742 1.1268471 3.008065 1.1511462 3.612903 1.2343964 3.310484 1.0584402 4.056452 1.2834305 4.370968 0.9915721 4.213710 0.9221162 2.338710 1.1609297 3.685484 1.4277558 3.012097 0.9315249 3.129032 1.3790992 3.282258 1.4288575 3.205645 0.9151216 66.63710 54.70161 2.6693548 1.653226 26.135462 33.89510 1.0799110 0.4778739
448 25 3.560000 2.4337899 1.625000 0.8753881 2.320000 1.0692677 1.979167 0.7294901 2.280000 1.0214369 2.600000 1.0408330 2.440000 0.9278110 3.080000 1.1874342 3.120000 1.0923980 3.100000 1.0000000 2.160000 0.8504901 2.440000 1.0832051 2.300000 0.7500000 2.720000 1.3391540 1.880000 1.2355835 2.300000 0.9464847 63.56000 58.48000 2.6800000 1.600000 14.648891 38.94025 1.3759845 0.5000000
449 124 3.274193 2.0888349 1.669355 0.6713870 1.669355 0.6340190 1.669355 0.4126412 2.459677 0.8591847 3.217742 0.8607095 2.838710 0.8002753 3.475807 0.6043704 3.354839 0.7006797 3.415323 0.5728327 3.048387 0.8912843 2.370968 1.1438613 2.709677 0.7438003 3.145161 0.6206939 2.145161 0.7618287 2.645161 0.5622769 90.58065 63.04032 2.6854839 1.637097 9.816277 46.75423 0.6670763 0.4827879
451 49 3.551020 1.9797014 1.653061 0.8049591 1.102041 0.3058389 1.377551 0.4844521 2.551020 0.7377111 3.224490 0.6851188 2.887755 0.6060915 2.326531 0.7468756 2.897959 0.8227215 2.612245 0.6790412 1.857143 0.7637626 1.836735 0.8743316 1.846939 0.6785714 2.979592 0.6919115 2.326531 0.6578929 2.653061 0.5224550 64.91837 60.57143 2.4081633 1.612245 14.282619 39.94006 0.5369034 0.4922875
452 10 3.800000 2.2509257 1.700000 0.8232726 1.900000 0.8755950 1.800000 0.5868939 2.000000 0.8164966 2.500000 1.0801234 2.250000 0.8579692 2.700000 1.2516656 2.900000 1.5238839 2.800000 1.3581033 2.600000 1.5776213 2.300000 1.2516656 2.450000 1.3426756 2.600000 1.5055453 2.200000 1.1352924 2.400000 1.1737878 48.90000 61.60000 3.2000000 1.600000 0.875595 46.94962 1.3165612 0.5163978
453 25 3.360000 1.8000000 2.240000 1.1284207 2.560000 0.9609024 2.400000 0.5951190 1.440000 0.7681146 2.600000 0.7637626 2.020000 0.5859465 3.040000 1.0198039 3.240000 0.9255629 3.140000 0.7842194 2.360000 1.0754844 2.640000 1.0754844 2.500000 0.9895285 3.000000 0.7637626 2.040000 1.2409674 2.520000 0.8597480 47.56000 51.24000 1.0000000 1.600000 5.838664 24.46303 1.5000000 0.5000000
454 25 2.640000 1.2543258 1.400000 0.7637626 1.160000 0.4725816 1.280000 0.4582576 2.040000 1.0598742 2.920000 1.1518102 2.480000 1.0255080 1.440000 0.7118052 2.280000 0.9797959 1.860000 0.6211548 1.640000 0.9521905 1.600000 0.8660254 1.620000 0.6000000 2.760000 0.6633250 2.000000 1.1547005 2.380000 0.7112196 60.60000 64.24000 2.2000000 1.640000 11.905881 47.44144 1.6072751 0.4898979
456 25 2.480000 2.2752289 2.720000 0.9797959 2.400000 0.8164966 2.560000 0.8205689 2.960000 0.7895146 2.720000 0.8426150 2.840000 0.6409628 2.680000 0.6904105 3.000000 0.9574271 2.840000 0.6726812 3.160000 0.8981462 2.680000 0.9000000 2.920000 0.7314369 2.800000 0.9128709 2.520000 0.7141428 2.660000 0.5722762 54.44000 53.40000 1.5600000 1.640000 21.907153 31.14081 1.4165686 0.4898979
459 25 3.600000 2.2173558 1.840000 1.0677078 2.760000 0.8793937 2.300000 0.7071068 2.840000 0.8000000 3.120000 0.8326664 2.980000 0.7427427 3.560000 0.8698659 3.120000 0.7810250 3.340000 0.7735201 2.800000 0.8660254 3.000000 1.1547005 2.900000 0.8779711 2.880000 0.9273618 2.480000 0.5859465 2.680000 0.6103278 64.20000 63.84000 3.2800000 1.640000 21.301408 45.40987 0.6782330 0.4898979
461 21 1.809524 0.4023739 1.666667 0.6582806 2.000000 0.7745967 1.833333 0.6390097 2.904762 0.7684245 3.571429 0.9258201 3.238095 0.7684245 2.952381 0.9206623 3.285714 1.1019463 3.119048 0.9605306 2.952381 1.1169687 3.142857 1.0141851 3.047619 0.9605306 2.952381 0.9734573 2.380952 0.8646497 2.666667 0.7472171 72.66667 60.76190 2.5714286 1.666667 12.183322 32.60353 1.4342743 0.4830459
463 25 2.080000 1.0376255 2.880000 1.0923980 2.440000 1.0832051 2.660000 1.0480140 2.000000 1.0000000 2.520000 1.0456258 2.260000 0.9802211 2.760000 0.9695360 2.880000 0.9273618 2.820000 0.9228579 1.760000 0.9255629 2.160000 1.1430952 1.960000 0.7205322 2.520000 0.5859465 2.320000 1.1445523 2.420000 0.6563790 59.80000 58.52000 2.1200000 1.640000 15.242484 33.36555 1.3329166 0.4898979
467 75 3.453333 1.7880484 1.680000 0.7196095 1.400000 0.5198752 1.540000 0.5183133 2.640000 0.6904757 2.653333 0.7796973 2.646667 0.7155292 2.360000 0.4832324 2.426667 0.5735931 2.393333 0.4952022 2.346667 0.9514332 2.000000 0.6974858 2.173333 0.6498094 2.400000 0.5694948 2.480000 0.6443098 2.440000 0.4499249 55.24000 59.17333 3.0666667 1.653333 16.723377 26.23716 0.5773503 0.4791133
469 124 4.169355 2.3503045 1.669355 0.7621298 2.427419 0.8182212 2.048387 0.4955877 2.790323 0.6282534 3.467742 0.6556259 3.129032 0.5553545 2.911290 0.4599770 3.040323 0.5616351 2.975807 0.4635268 2.475807 0.7152657 2.024193 0.8111390 2.250000 0.5963984 2.895161 0.4740167 2.475807 0.6803121 2.685484 0.4251625 60.00000 54.42742 0.4516129 1.629032 12.846182 24.89986 1.0846665 0.4850235
470 25 3.640000 1.1503623 1.920000 0.8621678 1.480000 0.6531973 1.700000 0.6123724 2.880000 0.8812869 3.680000 0.4760952 3.280000 0.5787918 3.080000 1.0376255 3.120000 0.6658328 3.100000 0.7359801 2.280000 0.8426150 2.360000 0.9073772 2.320000 0.7199537 2.280000 0.6782330 3.280000 0.7371115 2.780000 0.5416026 61.88000 64.84000 3.1600000 1.680000 22.219211 33.98245 0.7461010 0.4760952
476 25 3.040000 2.2263573 1.640000 0.8103497 1.640000 0.7571878 1.640000 0.4681524 2.920000 0.7023769 3.520000 0.7702813 3.220000 0.6934215 3.440000 0.8698659 3.520000 0.7702813 3.480000 0.7702813 2.840000 0.8504901 2.680000 0.9451631 2.760000 0.8180261 3.800000 0.6454972 2.720000 0.9363048 3.260000 0.7088723 51.36000 54.84000 2.4400000 1.640000 17.663239 38.82405 0.7681146 0.4898979
479 124 2.846774 1.5090209 1.645161 0.7346649 1.717742 0.8793982 1.681452 0.6757552 3.233871 1.1413077 3.911290 0.8927176 3.572581 0.9210580 4.193548 0.7827138 3.983871 0.8262352 4.088710 0.7186493 2.943548 0.8862309 3.540323 1.1989100 3.241935 0.8776444 3.919355 0.9159541 3.153226 0.9880946 3.536290 0.7708442 60.07258 63.26613 2.1693548 1.637097 16.164889 45.25216 1.3835372 0.4827879
480 100 3.390000 1.6750999 2.484849 1.0037037 2.500000 1.0200020 2.484849 0.5909804 2.820000 0.9031930 3.250000 0.8211227 3.035000 0.7857795 2.810000 0.6918720 2.870000 0.7608475 2.840000 0.6699917 2.240000 0.7401883 2.840000 0.8130253 2.540000 0.5397343 3.010000 0.8102251 2.760000 0.7401883 2.885000 0.5543902 51.94000 60.60000 2.8200000 1.600000 22.322621 39.47458 1.2175485 0.4923660
482 18 2.888889 1.0226200 2.500000 1.6179144 1.888889 0.9633818 2.194444 0.7099894 4.333333 0.4850713 4.555556 0.7047922 4.444444 0.4501271 3.555556 0.7047922 3.333333 1.0289915 3.444444 0.7453560 4.444444 0.6156988 3.111111 1.7111705 3.777778 0.8947925 4.666667 0.4850713 3.888889 0.9002541 4.277778 0.5208088 96.11111 56.05556 2.3888889 1.555556 7.152859 46.83949 1.0369009 0.5113100
483 75 2.600000 1.8672136 1.360000 0.6706189 1.373333 0.6930803 1.366667 0.5534495 2.466667 0.7039144 2.800000 0.7533708 2.633333 0.5773503 3.213333 0.6215354 2.813333 0.7478498 3.013333 0.5197019 2.160000 0.8705388 2.746667 0.8397769 2.453333 0.7126906 2.626667 0.7845352 2.106667 0.6692742 2.366667 0.5946458 49.58667 59.54667 0.3600000 1.653333 2.995913 35.47107 0.9675827 0.4791133
485 50 3.960000 2.2674268 2.160000 1.2182289 1.300000 0.4629100 1.730000 0.6940711 3.120000 0.3854496 3.540000 0.5034574 3.330000 0.3726628 3.180000 0.6288960 3.460000 0.5424811 3.320000 0.5126960 2.880000 0.7182746 2.900000 0.8864053 2.890000 0.7374114 3.220000 0.5454824 2.980000 0.5886685 3.100000 0.4844521 61.52000 59.84000 2.8000000 1.600000 14.615117 47.10447 0.6388766 0.4948717
486 124 3.645161 1.9844663 1.879032 0.9760776 2.040323 0.7145320 1.959677 0.5241981 2.516129 0.8878939 2.967742 0.8058272 2.741935 0.7113593 3.024193 0.7908389 3.258065 0.7198799 3.141129 0.6033797 2.774193 0.9269121 2.629032 0.9915721 2.701613 0.7182843 2.733871 0.8372319 3.088710 0.7436681 2.911290 0.5374147 60.07258 57.09677 2.6935484 1.637097 24.209846 22.94901 0.7669750 0.4827879
487 14 3.714286 2.3014568 1.642857 1.2774459 1.214286 0.5789342 1.428571 0.6462062 2.428571 0.8516306 2.714286 0.7262730 2.571429 0.6462062 2.714286 0.8254203 3.142857 0.8644378 2.928571 0.6753103 2.785714 1.0509023 2.500000 0.9405399 2.642857 0.9078413 2.928571 0.2672612 2.571429 0.8516306 2.750000 0.4274252 50.71429 56.92857 0.0000000 1.714286 1.589803 29.27972 0.0000000 0.4688072
489 100 2.900000 1.8062741 2.460000 1.1048104 2.040000 0.8636310 2.250000 0.7017295 2.230000 0.8510837 2.990000 0.8102251 2.610000 0.7473184 2.290000 1.0473150 2.560000 0.9354953 2.425000 0.8999860 1.840000 0.8005049 2.040000 1.1274356 1.940000 0.7326443 2.540000 0.9890307 2.040000 0.9735907 2.290000 0.6558979 63.66000 63.53000 0.1300000 1.630000 10.497927 40.03041 0.7474536 0.4852366
490 124 3.532258 1.7689071 1.233871 0.4616843 1.596774 0.6857357 1.415323 0.4585315 2.790323 0.7573402 2.766129 0.6515631 2.778226 0.5677742 3.072581 0.7004457 3.096774 0.8106943 3.084677 0.6039227 2.758065 0.7475811 2.548387 0.7688534 2.653226 0.5027462 2.733871 0.6879789 2.766129 0.8274643 2.750000 0.6165073 62.59677 59.79032 2.6693548 1.637097 12.924370 29.80650 0.6951841 0.4827879
492 25 3.400000 1.3844373 1.960000 0.7895146 1.760000 0.8306624 1.860000 0.5866572 3.160000 0.8000000 3.400000 0.7637626 3.280000 0.6626965 3.440000 0.9609024 3.240000 1.0115994 3.340000 0.8504901 2.720000 0.8426150 3.240000 0.9695360 2.980000 0.6843488 3.200000 0.9574271 3.000000 0.9574271 3.100000 0.8416254 62.84000 61.24000 2.6000000 1.640000 18.709801 33.94147 0.6454972 0.4898979
494 25 3.360000 1.8230012 2.200000 0.9574271 2.080000 0.9092121 2.140000 0.8231039 2.840000 0.6244998 3.200000 0.7071068 3.020000 0.5099020 3.160000 0.8504901 3.520000 1.0456258 3.340000 0.8504901 2.800000 0.9574271 3.000000 0.7637626 2.900000 0.7905694 3.280000 0.7371115 2.760000 0.7788881 3.020000 0.6204837 62.44000 53.36000 0.9200000 1.640000 14.341316 34.94147 1.4118546 0.4898979
495 22 3.363636 2.2582221 1.727273 1.0771133 2.454546 1.4384937 2.090909 1.0980108 2.363636 1.1769798 2.500000 1.2630274 2.431818 1.1881904 2.954546 0.8438727 2.863636 0.9902118 2.909091 0.8540710 2.318182 1.2105238 2.727273 0.9847319 2.522727 0.7939844 2.818182 1.0064726 2.545454 1.1843131 2.681818 0.9454837 57.63636 55.81818 2.6363636 1.681818 15.280069 31.43495 1.0486025 0.4767313
496 25 3.360000 2.0591260 1.520000 0.7141428 1.520000 0.8717798 1.520000 0.6034622 2.520000 0.8225975 2.720000 0.5416026 2.620000 0.6337718 2.280000 1.0214369 1.920000 0.9539392 2.100000 0.6922187 1.960000 0.9780934 1.920000 0.9539392 1.940000 0.9500000 2.640000 0.6377042 2.120000 0.6658328 2.380000 0.5642104 61.40000 61.40000 3.7600000 1.640000 15.819292 48.00347 0.7788881 0.4898979
497 50 3.540000 2.4007652 1.800000 0.7559289 1.980000 0.9145089 1.890000 0.7304597 2.780000 0.7082603 3.280000 0.7010197 3.030000 0.6421425 3.040000 0.7548483 3.160000 0.9116032 3.100000 0.7354022 2.280000 0.8339725 2.500000 0.8864053 2.390000 0.6490967 2.660000 0.9171829 2.920000 0.8533248 2.790000 0.7149283 67.76000 65.90000 2.5400000 1.660000 17.424543 45.98857 1.3125765 0.4785181
501 25 3.680000 1.4059398 1.440000 0.7681146 1.360000 0.5686241 1.400000 0.4564355 3.520000 0.7141428 3.720000 0.5416026 3.620000 0.4153312 3.720000 0.4582576 3.880000 0.7257180 3.800000 0.4082483 3.640000 0.8602325 3.480000 1.1590226 3.560000 0.9278110 3.200000 0.8164966 2.720000 0.7371115 2.960000 0.6278269 63.28000 62.72000 2.2800000 1.640000 15.344706 46.78721 0.6782330 0.4898979
502 69 2.768116 1.3519586 2.043478 0.8302158 1.608696 0.5743895 1.826087 0.5804796 2.797101 0.4051038 3.217391 0.5908510 3.007246 0.4329512 2.927536 0.6927957 2.753623 0.6946391 2.840580 0.6329945 2.753623 0.7747067 2.637681 0.6410243 2.695652 0.6196381 3.246377 0.5791931 2.811594 0.5497422 3.028986 0.4608501 70.17391 65.39130 3.3333333 1.637681 10.812515 42.34460 0.7982825 0.4841917
504 25 4.160000 2.8965497 2.320000 1.6000000 3.040000 1.7435596 2.680000 1.2980755 2.160000 0.9433981 2.680000 1.4352700 2.420000 1.1056672 3.080000 1.3515423 3.560000 1.5297059 3.320000 1.1979149 1.520000 1.0456258 2.600000 1.5000000 2.060000 0.9389711 2.680000 1.0692677 1.800000 1.1902381 2.240000 0.9255629 38.80000 48.48000 0.0800000 1.600000 19.555477 30.57384 0.4000000 0.5000000
505 25 4.560000 1.9595918 1.640000 0.8103497 2.680000 1.0692677 2.160000 0.6244998 2.600000 0.8164966 2.680000 0.8524475 2.640000 0.7291548 2.640000 0.6377042 3.000000 0.7071068 2.820000 0.5377422 2.360000 0.8103497 3.000000 0.8164966 2.680000 0.6271629 2.720000 0.7916228 2.240000 0.5972158 2.480000 0.5099020 64.36000 61.76000 2.6800000 1.640000 19.274076 40.22984 0.6904105 0.4898979
507 50 1.640000 0.9205145 1.612245 0.9961661 1.440000 0.8843307 1.530612 0.7174039 2.060000 1.1322724 2.260000 1.0460811 2.160000 1.0372648 2.320000 1.1856282 2.200000 1.1952286 2.260000 1.1439281 2.120000 1.0999072 2.240000 1.3334014 2.180000 1.1237692 2.240000 1.0606121 1.880000 1.0621503 2.060000 0.9930370 47.64000 61.28000 2.2600000 1.680000 14.873288 33.01517 0.9216223 0.4712121
509 25 1.600000 0.8660254 1.920000 0.9539392 1.280000 0.5416026 1.600000 0.5204165 2.440000 0.8205689 3.040000 0.8888194 2.740000 0.7516648 2.720000 0.7916228 2.840000 0.7461010 2.780000 0.6782330 2.280000 1.0214369 2.400000 1.0801234 2.340000 0.9543759 2.680000 0.7483315 2.560000 0.6506407 2.620000 0.6000000 50.96000 61.76000 2.7200000 1.640000 1.059874 46.47157 0.6137318 0.4898979
510 25 2.400000 1.8257419 2.360000 1.1860298 1.280000 0.5416026 1.820000 0.7756718 4.120000 0.9712535 4.480000 0.7702813 4.300000 0.8164966 3.680000 0.9000000 3.920000 1.0376255 3.800000 0.8416254 3.640000 1.3190906 3.000000 1.1180340 3.320000 0.9987492 3.880000 1.0535654 3.800000 0.9574271 3.840000 0.9543759 60.64000 57.16000 1.6000000 1.600000 25.373674 30.78376 1.2247449 0.5000000
511 49 3.551020 2.2273043 2.285714 1.0206207 2.326531 0.7184403 2.306122 0.6678349 2.469388 0.8684767 2.755102 0.8299250 2.612245 0.7307623 2.551020 0.7089083 3.061224 0.9444611 2.806122 0.7346791 2.102041 1.1225881 2.530612 1.0626626 2.316327 0.9281134 2.755102 0.8299250 2.204082 0.9124051 2.479592 0.5586366 73.59184 64.04082 2.7142857 1.632653 12.858069 32.43131 0.7905694 0.4870779
512 25 4.360000 1.7048949 1.840000 1.2138094 1.520000 0.7702813 1.680000 0.7483315 2.760000 0.9695360 3.560000 0.9165151 3.160000 0.8000000 3.480000 0.7141428 3.480000 0.9183318 3.480000 0.5099020 3.000000 1.0801234 2.400000 1.0801234 2.700000 0.9464847 3.280000 0.8426150 3.280000 0.7916228 3.280000 0.7371115 60.76000 63.52000 2.8400000 1.680000 15.119744 48.60566 0.7461010 0.4760952
513 33 2.909091 1.6271838 1.515151 0.8337120 2.212121 1.1390121 1.863636 0.7932600 2.727273 0.7612788 3.575758 0.6139169 3.151515 0.5793969 3.090909 0.8427498 3.333333 0.9574271 3.212121 0.7809280 2.878788 1.1112374 2.030303 1.2370542 2.454546 0.9467348 2.545454 1.1205721 2.939394 0.9333874 2.742424 0.8489075 49.54545 64.09091 2.8787879 1.666667 32.672705 35.85070 1.5960415 0.4787136
516 25 3.360000 1.7530925 2.000000 1.0000000 2.120000 1.0535654 2.060000 0.8817596 2.040000 0.9345231 3.200000 1.3540064 2.620000 0.9819199 3.600000 0.8660254 3.560000 0.9165151 3.580000 0.7729812 2.720000 1.0214369 2.360000 1.0754844 2.540000 0.9780934 2.200000 1.0801234 2.040000 0.9345231 2.120000 0.7399324 64.64000 62.04000 0.2400000 1.640000 13.576573 45.03191 0.8306624 0.4898979
518 25 3.360000 1.7048949 2.080000 1.1150486 1.920000 1.0770330 2.000000 0.8539126 2.880000 0.9712535 3.000000 1.1547005 2.940000 1.0136567 3.720000 1.0614456 3.160000 0.6244998 3.440000 0.7118052 2.760000 1.2342339 3.200000 0.7071068 2.980000 0.7141428 3.240000 0.5972158 2.560000 1.1210114 2.900000 0.6291529 66.52000 52.88000 2.5200000 1.640000 24.284975 37.43363 0.7702813 0.4898979
520 25 2.920000 1.9347696 1.920000 0.7593857 2.280000 0.9363048 2.100000 0.7071068 3.600000 0.7071068 3.480000 0.7702813 3.540000 0.5759051 3.840000 0.6879922 3.640000 0.9073772 3.740000 0.6940221 3.360000 1.1135529 2.720000 0.9797959 3.040000 0.9233093 3.080000 1.0770330 3.400000 0.7071068 3.240000 0.7788881 43.04000 56.44000 3.0000000 1.640000 24.130686 30.11517 0.0000000 0.4898979
521 25 2.880000 2.1855587 1.040000 0.2000000 1.200000 0.5000000 1.120000 0.3316625 2.560000 0.8205689 2.840000 0.6879922 2.700000 0.5204165 2.920000 0.8124038 2.560000 0.7118052 2.740000 0.6633250 2.320000 0.6904105 1.760000 0.9255629 2.040000 0.6910137 3.000000 0.8164966 2.080000 0.8621678 2.540000 0.6910137 58.08000 59.12000 2.5200000 1.640000 8.361220 29.94901 0.7141428 0.4898979
522 49 3.408163 1.0391978 2.204082 0.5766134 2.122449 0.4844521 2.163265 0.3289465 2.020408 0.4782693 2.387755 0.4922875 2.204082 0.3668328 2.061224 0.3167651 2.163265 0.3734378 2.112245 0.2934228 1.979592 0.4782693 2.040816 0.4982964 2.010204 0.4388645 2.224490 0.4215698 2.102041 0.3677011 2.163265 0.3127125 51.00000 52.69388 0.0000000 1.653061 9.931012 13.77680 0.0000000 0.4809288
524 14 2.785714 1.1217138 2.071429 0.6157279 1.857143 0.8644378 1.964286 0.5705694 2.571429 1.1578684 2.928571 1.1411388 2.750000 1.0515556 2.642857 0.6333237 2.928571 0.8287419 2.785714 0.5789342 2.642857 1.2774459 2.714286 0.8254203 2.678571 0.9528730 3.357143 0.9287827 3.000000 0.7844645 3.178571 0.7234305 68.42857 57.14286 2.4285714 1.571429 24.449994 51.35526 1.0894096 0.5135526
525 33 3.484849 1.9384467 1.727273 0.8012774 1.939394 0.8992842 1.833333 0.4448783 2.636364 0.8222751 2.757576 0.7084447 2.696970 0.7174106 2.939394 0.7044233 2.969697 0.7699370 2.954546 0.6657190 2.757576 0.9692234 2.454546 0.8325754 2.606061 0.5695060 2.484849 0.5657524 2.969697 0.9180430 2.727273 0.5167644 66.00000 59.87879 2.7878788 1.666667 12.750000 34.54866 0.9923953 0.4787136
530 25 2.720000 1.7445152 1.520000 0.8225975 1.680000 0.9882645 1.600000 0.7772816 2.520000 1.2288206 2.920000 1.1874342 2.720000 1.1094293 3.760000 0.8306624 3.920000 1.0770330 3.840000 0.8746428 2.600000 1.2909944 3.280000 1.3076697 2.940000 0.9716824 3.840000 1.0279429 2.400000 1.1547005 3.120000 0.9160604 55.84000 64.00000 0.0000000 1.680000 15.842138 34.83293 0.0000000 0.4760952
531 25 2.640000 1.6299284 1.680000 1.0295630 1.640000 1.0360180 1.660000 0.6244998 2.240000 0.7234178 2.600000 0.8660254 2.420000 0.6873864 2.840000 0.9865766 2.960000 0.9345231 2.900000 0.7637626 2.240000 1.0908712 2.760000 1.0115994 2.500000 0.9354143 3.320000 1.0692677 3.000000 0.9128709 3.160000 0.7461010 50.92000 59.92000 0.0000000 1.680000 5.369047 22.19031 0.0000000 0.4760952
535 25 3.840000 1.3441230 1.120000 0.3316625 1.360000 0.4898979 1.240000 0.2929733 2.920000 0.8124038 3.000000 0.7637626 2.960000 0.7205322 2.960000 0.6757712 2.680000 0.7483315 2.820000 0.6595453 2.680000 0.9000000 2.880000 0.8326664 2.780000 0.8046738 3.080000 0.9966611 2.800000 0.8660254 2.940000 0.8817596 57.56000 54.56000 3.3600000 1.680000 17.930607 24.19036 0.9521905 0.4760952
537 45 4.088889 1.4588635 1.733333 0.8893307 1.022222 0.1490712 1.377778 0.4542171 2.511111 0.7268307 2.888889 0.6816498 2.700000 0.6160726 2.533333 0.7261355 2.777778 0.5595814 2.655556 0.5918214 2.355556 0.7433204 2.377778 0.7473860 2.366667 0.6431457 2.733333 0.6875517 2.511111 0.5886125 2.622222 0.5346574 62.71111 66.20000 2.9555556 1.711111 13.339317 32.95286 0.9034166 0.4583678
538 25 2.200000 1.3228757 2.200000 1.0408330 1.880000 0.8812869 2.040000 0.8406347 2.440000 0.7681146 2.600000 0.8660254 2.520000 0.7427427 2.200000 1.2247449 3.000000 1.3540064 2.600000 1.1814539 2.280000 1.2423097 1.960000 1.0198039 2.120000 1.0436315 3.960000 1.0984838 2.240000 0.9255629 3.100000 0.7216878 40.68000 64.04000 2.4800000 1.640000 23.700774 29.00787 0.9183318 0.4898979
539 124 3.629032 1.8847602 1.774193 0.8442894 2.556452 0.9309705 2.165323 0.6976202 2.129032 0.8739011 2.838710 0.7368037 2.483871 0.7211539 2.516129 0.8113411 2.741935 0.8822640 2.629032 0.7265884 2.564516 1.0378365 2.306452 0.9809355 2.435484 0.8717978 2.822581 0.7440647 2.411290 0.9371475 2.616935 0.7383482 58.15323 53.69355 2.9758065 1.669355 18.462902 27.65501 0.9323779 0.4723540
540 25 2.240000 1.2342339 1.600000 0.8164966 2.080000 0.8621678 1.840000 0.7320064 3.560000 0.7681146 3.840000 0.7461010 3.700000 0.6770032 3.840000 0.7461010 3.360000 0.8602325 3.600000 0.6614378 3.200000 1.1180340 2.880000 1.0132456 3.040000 0.6910137 3.120000 1.0132456 2.600000 0.8164966 2.860000 0.6377042 83.04000 67.20000 3.1200000 1.720000 22.844547 39.12267 0.9273618 0.4582576
541 25 4.040000 1.9035055 2.040000 1.0198039 2.120000 1.0132456 2.080000 0.6720615 2.800000 1.0408330 3.440000 0.9609024 3.120000 0.9495613 2.280000 0.8426150 3.040000 0.6110101 2.660000 0.6075909 2.440000 1.0440307 2.640000 0.9949874 2.540000 0.8154753 3.200000 0.5773503 3.240000 0.8306624 3.220000 0.5787918 58.84000 59.52000 2.6400000 1.600000 14.305244 33.64907 0.7000000 0.5000000
543 50 2.800000 1.1952286 2.020000 1.0200040 2.100000 1.0151907 2.060000 0.7466934 2.680000 0.7677159 3.460000 0.8854838 3.070000 0.7354715 3.260000 0.8283251 4.000000 0.8081220 3.630000 0.7057345 3.160000 1.2674899 3.260000 0.9648940 3.210000 1.0156430 3.340000 1.0421720 3.280000 0.8091316 3.310000 0.8261665 66.72000 59.20000 2.4800000 1.620000 19.004876 35.91771 0.7068181 0.4903144
544 197 3.187817 1.8979726 1.355330 0.5764374 1.142132 0.3781015 1.248731 0.3373984 2.208122 0.5645434 2.365482 0.6534261 2.286802 0.5557936 2.218274 0.6292781 2.375634 0.6476135 2.296954 0.5797526 2.152284 0.7806051 1.730965 0.7516686 1.941624 0.6189140 2.598985 0.5772905 2.020305 0.7623767 2.309645 0.5651967 47.79188 68.75127 3.5177665 1.680203 13.105628 45.32709 0.5306322 0.4675860
546 25 2.960000 2.2263573 2.400000 0.9128709 1.040000 0.2000000 1.720000 0.4804512 2.960000 0.4546061 3.000000 0.2886751 2.980000 0.3055050 2.960000 0.3511885 3.040000 0.3511885 3.000000 0.3227486 2.960000 0.3511885 3.000000 0.0000000 2.980000 0.1755942 2.920000 0.4000000 3.080000 0.2768875 3.000000 0.2500000 49.76000 66.04000 0.6800000 1.680000 1.090871 44.98655 1.2819256 0.4760952
547 124 2.612903 1.9783777 2.629032 0.7805329 2.032258 0.7853898 2.330645 0.5480457 3.145161 0.7291107 3.274193 0.7895528 3.209677 0.7102524 2.733871 0.7337272 3.193548 0.8032193 2.963710 0.6960206 2.806452 0.8804786 2.612903 0.8430459 2.709677 0.7732751 2.645161 0.8759993 3.088710 0.8649648 2.866935 0.7837498 49.34677 61.83871 3.6209677 1.669355 14.877300 40.22384 0.7607521 0.4723540
549 24 2.166667 0.9630868 2.375000 1.2790112 1.541667 0.8836272 1.958333 0.6743220 2.208333 0.7790276 2.791667 0.9315329 2.500000 0.6915641 3.125000 0.7974143 3.083333 1.2128539 3.104167 0.9086441 1.958333 1.1220775 2.333333 0.9630868 2.145833 0.8905197 2.666667 0.6370221 2.083333 1.3160107 2.375000 0.8628819 69.00000 61.50000 1.2500000 1.666667 9.112819 27.78489 1.8474424 0.4815434
550 13 2.461539 1.5607362 2.230769 0.9268087 2.153846 1.2810252 2.192308 0.9473309 2.076923 1.3204506 2.615385 1.1929279 2.346154 1.1969513 1.923077 0.9540736 1.769231 0.9268087 1.846154 0.8987170 2.000000 1.1547005 2.000000 0.9128709 2.000000 0.9128709 1.692308 0.7510676 1.538461 0.8770580 1.615385 0.6817210 45.00000 53.76923 3.2307692 1.538461 34.899857 38.89977 1.1657506 0.5188745
552 25 2.880000 1.1661904 2.280000 0.8906926 2.120000 0.8326664 2.200000 0.8036376 2.360000 0.9521905 2.920000 0.9539392 2.640000 0.7000000 3.360000 0.9073772 3.520000 0.7702813 3.440000 0.6664583 2.440000 1.0033278 3.320000 0.7483315 2.880000 0.6812978 3.440000 0.5830952 2.800000 0.8164966 3.120000 0.6337718 64.68000 55.72000 1.5600000 1.640000 15.765786 36.91829 0.8698659 0.4898979
553 16 3.687500 2.4143667 2.375000 1.4548769 2.375000 1.0878113 2.375000 0.9916317 2.875000 0.9574271 3.375000 1.2583057 3.125000 0.9398581 3.375000 1.4548769 3.500000 1.3662601 3.437500 1.3149778 2.562500 1.5478480 2.687500 1.2500000 2.625000 1.1761519 3.812500 1.4244882 2.937500 1.3400871 3.375000 1.1328430 70.62500 59.87500 3.1250000 1.625000 17.742134 43.64993 0.9574271 0.5000000
554 25 3.400000 1.6583124 2.000000 1.1902381 2.200000 1.1547005 2.100000 0.9464847 2.560000 0.9165151 3.600000 1.2909944 3.080000 0.9966611 3.000000 0.9128709 3.120000 0.9273618 3.060000 0.6506407 2.880000 1.2013881 2.840000 1.2806248 2.860000 1.0360180 3.360000 1.1503623 2.640000 0.9521905 3.000000 0.8897565 73.68000 61.24000 2.2400000 1.640000 24.256820 40.26814 1.7625739 0.4898979
555 124 1.879032 1.1304560 1.983871 0.9875968 2.298387 0.9193479 2.141129 0.3907491 1.967742 0.7853898 2.112903 0.6772695 2.040323 0.6394763 2.024193 0.4501799 2.112903 0.6772695 2.068548 0.4523411 2.112903 0.6891691 2.153226 1.0747989 2.133065 0.7627210 2.153226 0.7440207 2.096774 0.8305092 2.125000 0.5653440 53.31452 58.81452 3.0725806 1.661290 25.468733 24.81259 0.7344417 0.4751910
558 25 2.960000 1.2741010 1.560000 0.8205689 1.560000 0.5830952 1.560000 0.5461990 3.120000 0.6658328 3.200000 0.5773503 3.160000 0.6075909 3.400000 0.7071068 3.400000 0.6454972 3.400000 0.5951190 3.040000 0.8406347 3.400000 0.7637626 3.220000 0.6782330 3.440000 0.5830952 3.440000 0.8205689 3.440000 0.5830952 75.36000 63.80000 2.7600000 1.640000 6.632496 48.84329 0.4358899 0.4898979
563 74 2.513514 1.4357781 1.689189 1.1458762 1.810811 0.9315722 1.750000 0.8034600 2.297297 0.8716184 2.905405 1.1246786 2.601351 0.8835627 3.270270 1.0764897 3.472973 1.0098552 3.371622 0.9933367 2.662162 0.9969409 3.094595 1.1246786 2.878378 1.0061823 3.270270 1.0243247 2.810811 1.0293724 3.040541 0.9499703 76.82432 63.67568 2.5945946 1.648649 23.167264 38.77300 0.7924112 0.4806512
564 124 2.967742 2.0118975 1.645161 0.8666687 1.395161 0.6223291 1.520161 0.4995900 2.838710 0.7477565 3.427419 0.8941853 3.133065 0.7653812 3.008065 0.8971134 3.330645 1.0018014 3.169355 0.7647921 2.467742 0.9747669 2.870968 1.0278064 2.669355 0.8762612 2.548387 0.7364476 3.024193 0.8309433 2.786290 0.6154296 67.76613 61.33871 2.4758065 1.661290 10.170984 37.75356 0.6307011 0.4751910
565 50 2.500000 1.4463183 2.200000 0.9035079 2.140000 0.9037338 2.170000 0.6670832 2.860000 0.7827216 2.720000 0.9267014 2.790000 0.6315675 3.560000 0.7045045 3.400000 0.7824608 3.480000 0.6223720 2.760000 0.9380832 2.700000 0.9091373 2.730000 0.7838289 3.300000 0.7889544 2.640000 0.9424241 2.970000 0.5925559 50.44000 65.82000 2.3800000 1.680000 4.945251 35.86522 1.3685983 0.4712121
569 25 3.920000 2.5806976 1.720000 0.8426150 2.360000 1.1135529 2.040000 0.8888194 2.520000 0.9626353 2.760000 1.1284207 2.640000 0.9738241 2.640000 0.9949874 2.680000 1.1075498 2.660000 1.0177590 2.360000 0.9949874 2.320000 0.8524475 2.340000 0.8000000 2.720000 1.2423097 2.280000 0.8906926 2.500000 1.0103630 51.96000 66.84000 3.4800000 1.640000 20.405228 40.54080 0.8225975 0.4898979
570 124 3.500000 1.8324092 1.032258 0.2184753 1.000000 0.0000000 1.016129 0.1092376 2.903226 0.9829386 3.290323 0.8436679 3.096774 0.8617373 3.064516 0.8529426 3.072581 0.8570453 3.068548 0.8247559 3.024193 0.9147723 1.830645 1.0098843 2.427419 0.8451044 2.975807 0.8309433 2.895161 0.7737413 2.935484 0.7516046 70.60484 67.33871 3.7983871 1.669355 9.665813 45.38667 0.5699784 0.4723540
571 99 2.646465 1.3117455 2.464647 1.2479627 2.444444 1.2390107 2.454546 1.0078541 2.434343 1.1619970 2.797980 1.3323280 2.616162 1.1491529 3.555556 0.9606781 3.040404 1.1058213 3.297980 0.9365569 2.131313 1.1396962 2.272727 1.3463343 2.202020 0.9791687 2.636364 1.1732959 2.292929 1.0996523 2.464647 0.9126451 56.01010 63.87879 2.9898990 1.666667 22.088179 37.84697 1.1472678 0.4738035
572 99 3.333333 1.9325356 1.868687 1.2424997 2.121212 1.3114311 1.994949 1.1528469 2.676768 1.1413229 3.242424 1.2784789 2.959596 1.1081258 2.444444 1.3110381 2.363636 1.3435754 2.404040 1.2178032 2.414141 1.1867474 2.222222 1.2980013 2.318182 0.9883364 2.777778 0.9319231 2.090909 1.1874420 2.434343 0.9193123 59.14141 57.85859 2.4343434 1.666667 33.885163 37.40048 1.2949006 0.4738035
576 16 2.875000 1.5864005 2.187500 1.1672618 2.375000 0.8062258 2.281250 0.5153882 3.187500 0.6551081 3.687500 0.6020797 3.437500 0.5439056 3.437500 0.5123475 3.375000 1.0246951 3.406250 0.6115213 3.312500 0.8732125 2.125000 1.0878113 2.718750 0.8750000 2.812500 0.7500000 3.437500 0.7274384 3.125000 0.4654747 61.18750 59.87500 3.5625000 1.625000 16.975350 30.78717 0.8139410 0.5000000
578 25 2.320000 1.4640128 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 2.120000 0.7257180 2.640000 0.9949874 2.380000 0.7942502 2.000000 0.6454972 2.920000 1.1150486 2.460000 0.7348469 2.120000 1.0132456 1.840000 0.9433981 1.980000 0.8597480 2.640000 0.7000000 2.360000 0.7000000 2.500000 0.6291529 73.96000 71.72000 0.9600000 1.720000 12.424707 39.21365 1.4282857 0.4582576
582 24 2.041667 0.9990938 2.750000 0.7939992 2.458333 0.7210600 2.604167 0.3605300 2.583333 0.5835921 2.791667 0.9315329 2.687500 0.6222767 2.458333 0.7790276 2.833333 0.7613870 2.645833 0.6338147 2.583333 0.8805466 1.750000 0.7939992 2.166667 0.7469746 2.166667 0.4815434 2.333333 0.4815434 2.250000 0.3296902 50.20833 67.04167 3.1250000 1.666667 33.937256 22.11920 1.3929169 0.4815434
588 24 2.416667 0.9286112 2.458333 0.7790276 1.958333 0.8064504 2.208333 0.5299029 2.916667 0.7172815 3.250000 0.6756639 3.083333 0.6197241 3.125000 1.0759223 3.291667 0.9078961 3.208333 0.8958439 3.083333 1.0598058 2.666667 1.0072203 2.875000 0.9237212 3.250000 0.9440892 3.041667 0.9990938 3.145833 0.8005320 49.08333 52.79167 0.2083333 1.666667 2.947610 27.60904 0.7210600 0.4815434
589 25 3.320000 1.3453624 2.400000 1.2247449 2.560000 0.9609024 2.480000 0.7285831 3.320000 0.8020806 3.360000 0.7000000 3.340000 0.6570134 3.320000 0.7483315 3.280000 0.8906926 3.300000 0.6770032 2.520000 1.3880442 3.000000 1.2247449 2.760000 1.1912878 3.760000 0.5972158 3.320000 0.9451631 3.540000 0.6601767 77.52000 66.60000 2.2000000 1.680000 11.485933 38.71046 1.0801234 0.4760952
599 24 2.041667 1.0826363 1.291667 0.5500329 2.000000 1.0215078 1.645833 0.5413182 3.166667 1.0901403 4.416667 0.5036102 3.791667 0.6902531 3.791667 0.9315329 4.083333 0.9743076 3.937500 0.8761638 3.000000 1.3187609 2.708333 1.1220775 2.854167 1.0782349 3.333333 1.2038585 3.416667 0.9743076 3.375000 0.7260674 80.20833 64.29167 2.5833333 1.666667 18.405999 33.42412 0.9743076 0.4815434
601 24 2.000000 0.8340577 1.750000 0.9440892 1.125000 0.3378320 1.437500 0.5769579 2.416667 0.8805466 3.125000 0.9918143 2.770833 0.7937140 2.500000 0.9325048 2.750000 0.9440892 2.625000 0.8242256 2.083333 0.8297022 3.416667 1.2128539 2.750000 0.9207747 3.041667 0.9545847 2.875000 0.8998792 2.958333 0.8958439 88.54167 63.62500 2.4166667 1.666667 19.739563 44.08866 1.1000659 0.4815434
603 124 3.741935 2.0986677 1.080645 0.3275128 1.000000 0.0000000 1.040323 0.1637564 2.556452 0.6783819 3.298387 0.6244326 2.927419 0.5128176 3.048387 0.6228030 3.153226 0.7104831 3.100807 0.5877470 2.233871 0.9803672 2.362903 0.6666831 2.298387 0.7068749 3.088710 0.6377309 2.153226 0.7440207 2.620968 0.5644300 67.19355 58.81452 1.6209677 1.661290 12.807313 30.34768 1.2336260 0.4751910
604 103 3.834951 1.7992214 2.155340 0.6679979 2.223301 0.8509745 2.189320 0.5606216 2.708738 0.7226187 3.184466 0.9155259 2.946602 0.7171315 2.951456 0.7843899 2.990291 0.9751334 2.970874 0.8189701 2.708738 0.8240392 2.407767 0.9944640 2.558252 0.5870371 2.592233 0.8097070 2.640777 0.8728404 2.616505 0.6831440 79.95146 57.75728 3.3592233 1.660194 12.661799 40.58626 0.5748720 0.4759593
605 18 2.944444 1.3048427 2.722222 1.6735153 2.777778 1.5924659 2.750000 1.3311870 2.833333 1.6890652 3.055556 1.5519332 2.944444 1.5707706 3.444444 1.2472191 3.555556 1.6528842 3.500000 1.0981267 2.666667 1.7822656 3.388889 1.4608172 3.027778 1.2540783 3.722222 1.0178152 2.111111 1.2782750 2.916667 0.7905694 65.77778 67.77778 2.3333333 1.666667 24.841984 32.80344 1.1375929 0.4850713
606 44 2.363636 1.4157077 2.159091 1.0102540 2.136364 0.8238003 2.147727 0.7668991 2.636364 0.9423106 3.022727 0.9997357 2.829546 0.8822750 2.772727 0.8030070 3.022727 0.8757359 2.897727 0.7966466 2.181818 1.0404097 2.136364 1.0474978 2.159091 0.9324432 2.840909 0.8053074 2.590909 1.0635216 2.715909 0.8517951 56.84091 53.18182 2.6818182 1.681818 21.349738 26.75059 0.5181688 0.4711553
607 25 4.600000 1.6583124 3.280000 0.6782330 3.120000 0.9273618 3.200000 0.5590170 3.240000 0.8306624 3.240000 1.0115994 3.240000 0.7234178 3.320000 1.0295630 3.200000 1.0408330 3.260000 0.9142392 3.120000 1.0132456 3.280000 0.9797959 3.200000 0.8660254 2.880000 0.9273618 2.720000 1.2083046 2.800000 0.8779711 23.40000 57.08000 2.4800000 1.600000 19.943671 40.42887 1.2288206 0.5000000
609 25 2.720000 1.4000000 1.280000 0.4582576 1.400000 0.6454972 1.340000 0.4010403 2.880000 0.8812869 3.560000 0.8698659 3.220000 0.8175166 3.600000 0.7637626 3.560000 1.0832051 3.580000 0.8376555 3.200000 1.0408330 3.120000 0.9273618 3.160000 0.8981462 3.640000 0.9521905 2.880000 0.7810250 3.260000 0.7234178 81.56000 63.24000 0.1600000 1.640000 17.680215 45.97488 0.5537749 0.4898979
610 25 3.600000 1.2247449 1.960000 0.9780934 1.320000 0.5567764 1.640000 0.5500000 3.400000 1.0000000 4.080000 1.1150486 3.740000 0.8431093 3.600000 1.2583057 3.640000 1.3190906 3.620000 1.2523312 2.840000 1.0677078 2.920000 1.3820275 2.880000 1.1481870 3.360000 1.1503623 2.960000 1.1357817 3.160000 0.9865766 56.60000 57.36000 3.1600000 1.600000 19.805302 29.46167 0.4725816 0.5000000
616 25 2.440000 0.8698659 1.960000 0.7895146 1.920000 0.9092121 1.940000 0.7404953 2.840000 0.7461010 2.840000 0.8981462 2.840000 0.7176350 3.120000 0.7810250 3.280000 0.8426150 3.200000 0.7359801 2.880000 0.8812869 2.560000 1.0033278 2.720000 0.8548879 2.960000 0.8406347 3.040000 0.5385165 3.000000 0.5204165 78.52000 68.96000 2.6400000 1.680000 9.946188 41.07258 1.0754844 0.4760952
617 25 3.080000 1.6563011 1.760000 0.9695360 1.000000 0.0000000 1.380000 0.4847680 2.440000 0.7681146 3.640000 0.7000000 3.040000 0.6442049 3.640000 0.7000000 3.720000 1.0614456 3.680000 0.7621242 2.640000 1.5242484 2.920000 1.4410644 2.780000 1.4074208 3.600000 0.9128709 3.040000 1.1357817 3.320000 0.8645808 48.56000 57.80000 0.0000000 1.600000 1.193035 46.34742 0.0000000 0.5000000
618 124 3.306452 1.3862121 2.572581 0.9298430 2.088710 0.9628219 2.330645 0.8162155 3.000000 0.8553989 3.112903 0.7008668 3.056452 0.6570743 3.145161 0.8619655 3.241935 0.8868595 3.193548 0.7454733 3.193548 0.9514851 3.064516 0.9689650 3.129032 0.8479314 3.435484 0.8856759 3.145161 0.7618287 3.290323 0.7131083 66.76613 66.91935 3.0322581 1.653226 20.008985 32.21033 1.1400719 0.4778739
620 24 1.750000 0.4423259 1.416667 0.6538625 1.250000 0.6756639 1.333333 0.5835921 2.500000 0.7223151 2.916667 0.8297022 2.708333 0.5882300 2.875000 0.7974143 2.625000 0.8242256 2.750000 0.7071068 2.458333 0.8329709 2.583333 0.9286112 2.520833 0.8005320 2.833333 0.8164966 2.625000 1.0134959 2.729167 0.7798992 53.00000 55.70833 3.1666667 1.666667 11.436022 23.98637 1.1293194 0.4815434
621 10 2.900000 2.2335821 2.400000 0.8432740 2.100000 1.1005049 2.250000 0.8249579 2.900000 0.9944289 3.400000 0.9660918 3.150000 0.9143911 3.800000 0.7888106 3.400000 1.0749677 3.600000 0.7745967 2.800000 1.1352924 3.700000 1.0593499 3.250000 0.6346478 3.700000 1.0593499 3.200000 1.4757296 3.450000 1.1654756 70.90000 52.40000 1.4000000 1.600000 14.379383 36.49718 1.5055453 0.5163978
623 202 3.782178 2.1699162 1.826733 0.7086377 1.396040 0.5568070 1.611386 0.4275571 2.301980 0.6786701 2.584158 0.8013338 2.443069 0.6487466 2.153465 0.6239123 2.311881 0.7170680 2.232673 0.5511831 1.430693 0.7646731 1.727723 0.7262825 1.579208 0.6036072 2.405941 0.6491973 2.168317 0.6920919 2.287129 0.5410812 47.40099 54.08416 1.3415842 1.668317 15.538192 25.43293 1.5151485 0.4719876
624 74 2.648649 1.2434203 1.770270 0.6933598 1.608108 0.5186275 1.689189 0.4113351 3.378378 0.4882932 3.513514 0.5032291 3.445946 0.4500195 3.527027 0.5026770 3.472973 0.5026770 3.500000 0.4532984 2.770270 0.6313130 2.500000 0.6025062 2.635135 0.5253655 3.608108 0.4915050 2.851351 0.7154352 3.229730 0.3985349 84.97297 59.40541 3.0135135 1.635135 4.663977 37.26908 0.2022641 0.4846782
625 26 2.153846 1.2866175 2.115385 1.1428709 3.038461 0.9992305 2.576923 0.7027419 2.500000 1.3638182 2.538461 1.2721877 2.519231 1.2039997 2.538461 0.9478721 3.269231 1.1156233 2.903846 0.9057509 2.730769 1.1851647 2.461539 1.3922864 2.596154 1.0199925 2.461539 1.0288156 2.769231 0.9511127 2.615385 0.7524320 58.30769 73.15385 1.5769231 1.653846 22.536671 24.01615 1.5276931 0.4851645
626 32 1.781250 0.7063936 1.625000 0.7931155 1.031250 0.1767767 1.328125 0.4327216 1.937500 0.8775883 2.750000 0.9158109 2.343750 0.7770654 2.781250 1.1565905 2.781250 1.0696510 2.781250 0.9832263 2.250000 1.1639754 2.031250 1.0920349 2.140625 1.0643366 2.687500 0.9979818 2.406250 1.1319231 2.546875 0.9701960 69.84375 75.25000 0.7187500 1.750000 28.450420 36.30516 1.0846250 0.4399413
628 41 2.536585 1.2267347 1.317073 0.4711170 1.121951 0.3312946 1.219512 0.2749723 2.146342 0.3578390 2.390244 0.5421277 2.268293 0.4046227 2.560976 0.5499446 2.707317 0.6018265 2.634146 0.4876524 2.536585 0.5957164 2.707317 0.6420242 2.621951 0.5452120 3.268293 0.5488347 2.804878 0.7816493 3.036585 0.5851308 75.90244 77.70732 2.2926829 1.756098 20.622566 34.12641 1.1455109 0.4347694
629 25 2.840000 1.3441230 2.440000 0.8698659 2.120000 0.6000000 2.280000 0.6137318 2.800000 0.6454972 2.720000 0.7916228 2.760000 0.6633250 3.200000 0.7071068 3.160000 0.8000000 3.180000 0.6103278 2.640000 0.8103497 2.760000 0.9695360 2.700000 0.7359801 3.160000 0.8000000 2.560000 0.5066228 2.860000 0.5500000 69.80000 61.76000 3.2000000 1.640000 19.514951 47.39575 1.1180340 0.4898979
630 124 3.911290 2.0242919 1.491936 0.7380040 1.580645 0.8371144 1.536290 0.7548579 4.524193 0.7376485 4.532258 0.7482824 4.528226 0.6934725 4.677419 0.5341719 4.661290 0.5541726 4.669355 0.5015711 4.104839 1.0106631 4.225807 0.8248056 4.165323 0.8475737 4.669355 0.5368044 4.596774 0.7426535 4.633064 0.5064979 83.76613 64.48387 3.4274194 1.653226 16.039133 45.93925 0.7004457 0.4778739
631 19 3.947368 1.7786913 2.000000 0.8164966 1.631579 0.4955946 1.815789 0.4775669 2.947368 0.5242650 3.368421 0.7608859 3.157895 0.4426132 3.368421 0.6839856 3.473684 0.6966923 3.421053 0.5836465 3.000000 0.5773503 2.894737 0.6578363 2.947368 0.5501196 3.368421 0.7608859 2.842105 0.7647191 3.105263 0.6987876 76.15789 68.94737 2.5263158 1.736842 17.496867 32.69807 0.6117753 0.4524139
633 25 2.000000 0.7071068 2.240000 0.6633250 2.000000 0.5773503 2.120000 0.5057997 2.560000 0.7681146 2.440000 0.6506407 2.500000 0.5204165 2.440000 0.5830952 2.440000 0.5066228 2.440000 0.3905125 2.560000 0.7118052 2.600000 0.5000000 2.580000 0.4252450 2.480000 0.5099020 2.320000 0.4760952 2.400000 0.3535534 49.92000 56.60000 2.3600000 1.760000 16.293966 23.52835 1.0754844 0.4358899
634 25 3.440000 2.4846194 1.000000 0.0000000 1.000000 0.0000000 1.000000 0.0000000 3.320000 1.1445523 3.840000 0.9433981 3.580000 0.9647970 3.800000 1.0408330 3.840000 1.2138094 3.820000 1.0885771 3.640000 1.1860298 3.440000 1.1930353 3.540000 1.1539786 3.640000 1.2543258 3.240000 1.2342339 3.440000 1.1930353 67.96000 61.12000 2.4400000 1.640000 15.254726 43.06035 0.6506407 0.4898979
635 25 3.320000 2.5935818 2.040000 1.0198039 2.520000 1.2622731 2.280000 0.6137318 3.440000 1.0033278 3.360000 1.2543258 3.400000 1.0103630 3.800000 0.9574271 3.680000 1.0692677 3.740000 0.9142392 2.960000 0.9780934 3.960000 1.2409674 3.460000 0.8025999 3.800000 0.9574271 3.160000 1.1060440 3.480000 0.7427427 89.80000 63.92000 2.6400000 1.720000 10.507934 34.89737 0.6377042 0.4582576
636 103 3.291262 1.9384200 1.339806 0.7350257 1.864078 1.1118660 1.601942 0.7776259 2.533981 0.8724041 2.718447 0.7972683 2.626214 0.7881427 3.009709 1.0617701 2.951456 1.1663471 2.980583 1.0822143 2.631068 1.2125996 2.504854 1.2900356 2.567961 1.2046652 3.058252 1.0080581 3.019417 1.0570082 3.038835 0.8392612 67.93204 67.06796 3.0194175 1.640777 20.377449 39.89355 0.8853999 0.4821189
638 124 2.588710 1.7484585 1.274193 0.4657141 1.032258 0.1774015 1.153226 0.2483885 2.395161 0.8440952 2.669355 0.8036682 2.532258 0.7879735 1.951613 0.5536991 2.072581 0.6004522 2.012097 0.5389832 1.919355 0.9422061 1.895161 0.9611862 1.907258 0.6994973 2.725807 0.8865637 2.330645 0.7294254 2.528226 0.6696147 56.61290 62.55645 2.8951613 1.661290 28.986318 37.97502 0.9611862 0.4751910
639 16 1.875000 0.7187953 2.437500 1.3149778 2.750000 1.6124515 2.593750 1.1286976 3.562500 1.2093387 3.062500 1.3889444 3.312500 1.1814539 3.250000 1.1254629 3.562500 1.0935416 3.406250 0.7122441 2.312500 0.9464847 3.062500 1.2365948 2.687500 0.8139410 2.750000 1.0645813 3.750000 1.2382784 3.250000 0.9486833 46.37500 50.43750 0.0625000 1.625000 40.287095 29.33478 0.2500000 0.5000000
640 124 2.991935 1.7413945 1.693548 0.8850834 1.217742 0.6932952 1.455645 0.6564629 3.451613 1.1711633 3.766129 1.0676992 3.608871 1.0132466 3.298387 1.1260395 3.411290 1.1894666 3.354839 1.0721421 2.830645 1.3356998 2.653226 1.3006837 2.741935 1.0941156 3.080645 1.3165413 2.709677 1.2989939 2.895161 1.1121542 59.17742 62.69355 1.5080645 1.661290 27.673782 33.29620 1.6552256 0.4751910
642 124 2.709677 1.9950108 1.741936 1.0349264 1.653226 0.8069249 1.697581 0.4972222 2.588710 0.7545213 3.016129 0.8833038 2.802419 0.7512011 3.024193 0.7376485 3.338710 0.6853531 3.181452 0.6386427 2.233871 0.7112210 2.701613 1.0893411 2.467742 0.7775873 3.298387 0.7961272 3.016129 0.8360172 3.157258 0.5925243 60.62097 60.46774 0.9274194 1.653226 17.303880 40.58183 1.2762584 0.4778739
643 124 2.975807 2.2540432 1.250000 0.4347694 1.137097 0.3453448 1.193548 0.2970702 3.838710 0.6424938 4.250000 0.6065362 4.044355 0.5667340 3.862903 0.6906422 3.879032 0.6450908 3.870968 0.6242751 3.483871 0.5628596 3.129032 0.6621932 3.306452 0.5207471 3.443548 0.9309705 3.451613 0.5609927 3.447581 0.5767111 58.83065 65.10484 2.8548387 1.653226 28.100494 41.05575 0.4887939 0.4778739
644 24 3.541667 0.7790276 2.833333 1.3077251 1.875000 1.1156008 2.354167 1.0371278 2.916667 1.0179548 3.166667 1.2394482 3.041667 0.9431292 3.208333 1.1025333 3.041667 1.2328534 3.125000 0.9354143 3.208333 1.1412871 3.041667 1.2676293 3.125000 0.9118781 3.041667 1.2676293 3.083333 1.0598058 3.062500 0.9361403 67.12500 66.08333 2.3333333 1.708333 30.025080 41.60572 0.4815434 0.4643056
645 10 2.600000 1.3498971 1.600000 0.6992059 1.300000 0.4830459 1.450000 0.5502525 2.300000 0.8232726 3.100000 0.8755950 2.700000 0.7888106 2.900000 1.3703203 3.600000 1.2649111 3.250000 1.2747549 2.300000 1.2516656 2.400000 1.7126977 2.350000 1.3343746 2.900000 1.1005049 2.100000 0.9944289 2.500000 0.9718253 81.00000 55.70000 3.5000000 1.600000 21.343747 21.18202 1.1785113 0.5163978
647 124 3.064516 1.2280061 2.072581 1.0372994 1.854839 0.9256380 1.963710 0.7548579 3.201613 1.1685572 3.959677 1.0153232 3.580645 0.9614249 2.750000 1.1660858 3.088710 1.3374657 2.919355 1.0248678 2.475807 1.3218840 2.233871 1.2238077 2.354839 1.0096570 2.838710 1.0232031 2.403226 1.1037214 2.620968 0.9092366 55.20968 63.43548 3.1370968 1.645161 17.516670 36.45673 0.8198223 0.4804055
649 49 2.612245 0.8615956 1.326531 0.5548181 1.163265 0.4255848 1.244898 0.4463095 2.469388 0.7665410 2.530612 0.7665410 2.500000 0.6846532 2.428571 0.5773503 2.489796 0.6494372 2.459184 0.5667592 2.530612 0.5810207 2.489796 0.5817520 2.510204 0.5447648 2.591837 0.6095889 2.714286 0.5400617 2.653061 0.4809288 59.32653 64.02041 3.4081633 1.632653 15.800037 32.15489 0.4965870 0.4870779
652 25 2.720000 2.1315096 2.440000 1.0440307 2.840000 1.1060440 2.640000 0.8602325 3.480000 0.6531973 3.480000 0.7702813 3.480000 0.6204837 3.440000 0.8698659 3.200000 0.9574271 3.320000 0.6904105 3.320000 0.8020806 3.080000 1.1518102 3.200000 0.7637626 3.160000 0.8981462 3.160000 0.9433981 3.160000 0.7599342 70.28000 63.20000 1.0400000 1.680000 10.466295 35.28928 1.2741010 0.4760952
654 49 4.244898 2.2687241 2.163265 1.1962953 1.326531 0.6578929 1.744898 0.6544913 2.897959 0.7969969 3.122449 0.6656029 3.010204 0.6574081 3.183673 0.7548032 3.142857 0.7905694 3.163265 0.7172557 2.489796 1.0432811 3.040816 0.9345049 2.765306 0.8785763 3.244898 0.6931394 2.918367 0.6719603 3.081633 0.5714286 74.02041 59.97959 3.0000000 1.673469 12.963876 36.95633 0.8897565 0.4738035
655 25 2.680000 2.3223551 1.520000 0.6531973 1.280000 0.4582576 1.400000 0.4564355 2.720000 0.7916228 2.880000 0.9273618 2.800000 0.8291562 3.000000 0.8660254 2.760000 0.8306624 2.880000 0.8072587 3.000000 1.1902381 2.760000 0.7788881 2.880000 0.9160604 3.280000 0.8906926 2.800000 0.8164966 3.040000 0.8154753 59.84000 62.48000 3.1600000 1.680000 16.717456 35.28470 0.6244998 0.4760952
656 25 2.760000 2.2412794 2.040000 1.0198039 1.920000 1.0770330 1.980000 0.9069179 3.040000 1.2741010 3.040000 1.3063945 3.040000 1.1982626 2.800000 0.8164966 3.080000 1.0376255 2.940000 0.7947746 3.040000 1.2409674 2.680000 0.9451631 2.860000 0.7708221 3.040000 1.0598742 3.400000 1.4142136 3.220000 1.1463711 71.80000 67.16000 2.9600000 1.680000 21.851773 31.61840 0.8888194 0.4760952
659 15 3.733333 3.0814344 1.866667 1.0600988 1.400000 0.6324555 1.633333 0.6672616 3.333333 1.0465362 3.333333 0.9759001 3.333333 0.9193683 2.866667 0.9904304 2.866667 1.3020131 2.866667 1.0258562 3.066667 1.3345233 2.666667 1.7593289 2.866667 1.4200939 2.533333 0.9904304 2.800000 1.1464230 2.666667 0.8380817 66.53333 76.00000 2.0666667 1.800000 13.141356 29.84244 1.1629192 0.4140393
660 25 3.520000 2.4852901 1.880000 1.1661904 1.440000 0.7118052 1.660000 0.7868714 2.280000 0.7916228 3.240000 1.0519823 2.760000 0.8431093 3.080000 0.8124038 3.000000 1.0408330 3.040000 0.8406347 1.880000 0.8812869 2.280000 0.9797959 2.080000 0.7729812 2.800000 0.9128709 2.360000 1.3190906 2.580000 0.9861541 47.52000 60.36000 2.7600000 1.680000 20.538825 42.99698 1.1647603 0.4760952
662 28 3.357143 2.0586635 2.214286 0.9946949 1.464286 0.8380817 1.839286 0.7941169 2.964286 1.0708993 3.678571 0.9833266 3.321429 0.9643102 3.000000 0.7200823 3.250000 0.8443713 3.125000 0.7021791 1.821429 0.9449112 2.321429 0.8189230 2.071429 0.5563486 2.857143 0.7559289 2.321429 0.8629652 2.589286 0.6390614 60.57143 65.39286 2.8214286 1.714286 18.703196 35.68207 0.9449112 0.4600437
664 124 3.016129 1.5512066 3.112903 0.9213782 2.443548 1.0065026 2.778226 0.7738154 2.556452 0.7358687 2.798387 0.7322961 2.677419 0.6723141 2.701613 0.7961272 2.911290 0.9457831 2.806452 0.8330317 2.250000 0.9072876 1.991936 0.8695010 2.120968 0.7553898 2.564516 0.8385230 2.572581 0.7669323 2.568548 0.5889728 75.32258 64.73387 2.9435484 1.653226 19.181439 40.69860 0.5885412 0.4778739
668 25 3.480000 1.8956090 2.560000 1.0832051 2.080000 1.0376255 2.320000 0.5930149 2.480000 1.0847427 2.440000 1.0832051 2.460000 1.0400321 3.160000 0.8981462 3.160000 0.9865766 3.160000 0.7868714 2.600000 1.3228757 2.880000 1.0535654 2.740000 1.0115994 3.080000 1.2556539 2.480000 0.8717798 2.780000 0.9473648 52.48000 51.20000 2.4400000 1.560000 22.448311 23.62202 1.3564660 0.5066228
669 25 4.240000 2.4542480 1.640000 0.7571878 1.760000 0.9255629 1.700000 0.4082483 2.440000 0.9165151 2.280000 0.8906926 2.360000 0.8103497 2.800000 0.8660254 2.840000 0.8504901 2.820000 0.7621242 2.240000 0.8306624 2.680000 1.0295630 2.460000 0.7059273 2.480000 0.8717798 2.200000 0.9574271 2.340000 0.6570134 61.56000 53.48000 3.2400000 1.560000 18.828347 32.02489 0.7788881 0.5066228
670 25 3.760000 1.7146428 2.080000 1.5253415 1.880000 1.1298968 1.980000 0.8225975 2.440000 1.2935739 3.160000 1.0677078 2.800000 1.0897247 3.160000 1.1060440 3.240000 1.3000000 3.200000 1.1180340 2.200000 1.2583057 2.360000 1.5242484 2.280000 1.1554220 2.920000 1.1150486 2.720000 1.4583095 2.820000 1.2322067 47.76000 60.52000 0.6800000 1.560000 25.831634 38.30918 1.2819256 0.5066228
671 25 2.680000 1.5198684 1.800000 1.0408330 1.960000 0.7895146 1.880000 0.5642104 2.640000 0.8602325 2.960000 1.0984838 2.800000 0.8897565 2.160000 0.9865766 2.200000 1.0000000 2.180000 0.9340771 2.040000 0.8406347 2.160000 1.1789826 2.100000 0.9574271 2.560000 0.9165151 2.440000 1.3253930 2.500000 0.9242114 64.96000 46.12000 0.0000000 1.560000 20.135955 35.45810 0.0000000 0.5066228
672 124 2.830645 1.4800669 2.443548 0.7247362 2.112903 0.7984709 2.278226 0.5569313 3.435484 0.7127405 3.750000 0.8127540 3.592742 0.6994973 2.895161 0.6352587 3.298387 0.9193479 3.096774 0.6737754 2.564516 0.7987993 2.596774 0.8734508 2.580645 0.7766592 3.459677 0.7798185 2.903226 0.7147614 3.181452 0.6386427 61.72581 64.43548 2.7419355 1.653226 23.824336 32.67386 0.8152108 0.4778739
674 74 2.797297 1.7825619 2.581081 0.9216833 2.229730 0.8528325 2.405405 0.4431803 3.081081 0.8561903 3.337838 0.7635000 3.209459 0.7585438 3.445946 0.8780722 3.621622 0.9750687 3.533784 0.8453381 2.689189 0.7388565 2.608108 0.9336564 2.648649 0.6009680 3.459459 0.7619224 2.810811 0.9461628 3.135135 0.6789259 63.77027 61.82432 3.1891892 1.635135 13.214300 39.31620 0.7526333 0.4846782
677 124 2.975807 2.1918686 1.580645 0.6759128 1.516129 0.6179414 1.548387 0.4746387 2.524193 0.6803121 3.024193 0.8010533 2.774193 0.6906896 2.790323 0.7785143 2.645161 0.9558851 2.717742 0.8070873 2.225807 0.5074840 2.177419 0.8069655 2.201613 0.5444448 2.725807 0.7023620 2.354839 0.6141098 2.540323 0.4579771 72.21774 59.95161 2.7177419 1.653226 16.743673 31.05014 0.6694311 0.4778739
678 25 3.520000 2.5839247 2.040000 1.2069245 1.440000 0.7681146 1.740000 0.7921490 2.080000 0.9092121 3.000000 1.0000000 2.540000 0.8650626 3.280000 0.8906926 3.520000 1.0456258 3.400000 0.9354143 1.920000 1.1874342 3.000000 1.5000000 2.460000 0.7762087 3.360000 0.8103497 2.240000 1.0519823 2.800000 0.7772816 38.88000 66.52000 1.3200000 1.640000 29.237989 46.16557 1.3453624 0.4898979
679 11 2.454546 1.8090681 2.363636 0.9244163 2.363636 0.6741999 2.363636 0.6360389 2.272727 1.1908744 2.818182 0.7507572 2.545454 0.9070431 3.090909 1.0444659 2.363636 1.0269106 2.727273 0.9839623 2.363636 1.0269106 2.727273 1.1037127 2.545454 0.9341987 2.727273 0.6466698 2.727273 0.9045340 2.727273 0.6842381 57.54545 55.09091 3.1818182 1.545454 27.536752 40.39419 1.1677484 0.5222330
680 124 3.879032 1.7371725 1.701613 0.7541736 1.669355 0.7067822 1.685484 0.4392702 2.451613 0.5892649 2.838710 0.5897098 2.645161 0.5170829 2.161290 0.6550256 2.153226 0.7440207 2.157258 0.6482213 2.112903 0.8085888 1.927419 0.7669323 2.020161 0.6759492 2.153226 0.7330120 2.153226 0.7967858 2.153226 0.6872161 85.55645 62.57258 3.5241935 1.653226 6.810206 39.75089 0.5173998 0.4778739
682 25 3.960000 1.8814888 2.000000 1.0000000 1.800000 0.8164966 1.900000 0.5400617 2.360000 0.6377042 2.800000 0.8164966 2.580000 0.6563790 2.200000 0.7071068 2.200000 0.7637626 2.200000 0.6614378 2.120000 1.0132456 2.400000 1.2247449 2.260000 1.0218447 2.840000 0.7461010 2.800000 1.0801234 2.820000 0.7483315 60.76000 58.28000 2.6400000 1.560000 17.687755 42.51227 0.8103497 0.5066228
683 99 3.080808 2.0784451 1.696970 0.9417152 1.505051 0.8375589 1.601010 0.7070339 1.959596 0.8441780 2.717172 0.8456419 2.338384 0.7687396 3.212121 0.8952565 3.323232 0.8430785 3.267677 0.8460989 2.252525 1.0136158 2.606061 1.1677484 2.429293 0.7457707 2.909091 0.7836454 1.919192 0.9111192 2.414141 0.6963476 48.19192 65.91919 1.7373737 1.646465 25.109831 45.97241 1.5292112 0.4805000
684 25 4.880000 2.1855587 2.440000 0.8205689 2.120000 0.9273618 2.280000 0.6626965 2.440000 0.8205689 3.400000 1.0000000 2.920000 0.8376555 2.960000 0.7895146 3.240000 1.2000000 3.100000 0.9013878 2.640000 1.2206556 3.000000 1.1902381 2.820000 0.9115006 3.200000 1.0000000 2.400000 1.2247449 2.800000 0.7071068 66.36000 55.40000 2.4800000 1.560000 18.062115 38.78144 1.2948616 0.5066228
686 24 2.000000 0.6593805 2.083333 0.8805466 1.708333 0.9990938 1.895833 0.8072924 2.875000 1.0347232 3.416667 1.0179548 3.145833 0.9146057 2.875000 0.8501918 3.333333 1.3726099 3.104167 1.0318743 3.041667 1.3981095 2.791667 1.2150923 2.916667 1.1000659 3.250000 0.9890707 3.333333 1.2394482 3.291667 0.9431292 77.66667 68.41667 2.6666667 1.666667 15.724992 37.03220 0.4815434 0.4815434
687 25 3.240000 2.2412794 2.960000 1.3063945 1.640000 0.9073772 2.300000 1.0307764 2.680000 1.0295630 3.840000 0.8981462 3.260000 0.8180261 3.280000 1.0214369 3.400000 1.0801234 3.340000 0.8864724 2.440000 1.1575837 2.040000 1.0598742 2.240000 0.9907909 3.600000 0.9128709 2.800000 1.0000000 3.200000 0.8291562 63.64000 51.48000 1.4000000 1.520000 30.939295 45.76035 1.1547005 0.5099020
688 25 4.200000 2.0000000 1.600000 1.0408330 1.280000 0.5416026 1.440000 0.6006940 1.920000 0.8124038 2.160000 0.8504901 2.040000 0.8025999 2.400000 0.6454972 2.680000 0.8020806 2.540000 0.6910137 1.920000 0.7593857 1.840000 0.6244998 1.880000 0.6000000 1.560000 0.5830952 2.240000 0.7788881 1.900000 0.5951190 48.24000 54.04000 0.0000000 1.560000 18.086090 39.85127 0.0000000 0.5066228
689 38 2.500000 1.7514473 2.342105 1.3808794 1.842105 1.1746492 2.092105 0.9575819 2.421053 1.2221288 3.526316 1.3302477 2.973684 1.1386773 3.447368 1.3294455 2.973684 1.5507076 3.210526 1.4076604 2.526316 1.2678316 2.842105 1.5858550 2.684210 1.2380295 3.500000 1.3506755 2.684210 1.4906060 3.092105 1.2673406 47.76316 60.00000 2.2105263 1.552632 35.383180 40.55693 1.8910585 0.5038966
690 50 3.680000 1.8564834 1.320000 0.4712121 1.280000 0.4535574 1.300000 0.3499271 2.680000 0.5126960 3.060000 0.3730733 2.870000 0.3615443 2.560000 0.6749150 2.900000 0.7626484 2.730000 0.6244181 2.380000 1.0279760 2.240000 0.9160697 2.310000 0.9196827 2.380000 0.9452351 2.260000 0.7774894 2.320000 0.7743332 60.82000 59.18000 3.2200000 1.620000 14.216532 29.46440 0.4646702 0.4903144
695 25 2.480000 2.1236761 2.640000 1.5513435 3.720000 1.3076697 3.180000 1.1715375 2.640000 1.5779734 2.680000 1.6258331 2.660000 1.4268263 3.320000 1.5737429 3.520000 1.3576941 3.420000 1.1874342 2.600000 1.5000000 3.040000 1.5673757 2.820000 1.1803954 2.560000 1.3868429 2.400000 1.1547005 2.480000 0.8836477 55.48000 59.08000 3.1200000 1.720000 35.551746 32.73113 1.3012814 0.4582576


Personality Traits

Personality Traits

Listeners rated the 10 aspect-level personality traits for each recording they listened to. Each question used the following format - “How [trait] does this person sound?” with additional example adjectives taken from the respective items used on the BFAS. For example:

How enthusiastic does this person sound?

They sound like they make friends easily; warms up to others quickly; shows happiness and enthusiasm easily; fun; can get caught up in excitement.

Personality traits were rated using a 5-point Likert scale where:

  1. Not at all

  2. A little

  3. Moderately

  4. Quite a bit

  5. Extremely

# df_LRs %>%
#   #Keep only ID, number of ratings, and aspect traits
#   select(listener_id, n_ratings,
#          starts_with("m_"),
#          -ends_with(".conf"),
#          -m_age, -m_neuroticism,
#          -m_conscientiousness,
#          -m_agreeableness,
#          -m_extraversion,
#          -m_openint,
#          -m_attractive,
#          -m_gender,
#          -m_ses,
#          -m_sex) %>%
#   pivot_longer(m_withdrawn:m_open,
#                names_to = "Trait",
#                names_prefix = "m_",
#                values_to = "avg_rating") %>%
#   ggplot(aes(avg_rating)) + 
#   geom_histogram(aes(y = after_stat(density)),
#                  fill = "blue",
#                  alpha = .5
#                  #color = "gray"
#                  )+
#   geom_density()+
#   theme_minimal()+
#   xlim(1,5)+
#   facet_wrap(~factor(Trait, #Coerce ~Trait but as a factor in the specified order
#                      c("withdrawn", "volatile", "compassionate", "polite",
#                        "industrious", "orderly", "enthusiastic", "assertive",
#                        "intellectual", "open")),
#              ncol = 5) +
#   scale_fill_brewer(palette = "YlGnBu") + 
#   theme(strip.text = element_text(face = "bold"),
#         plot.title = element_text(hjust = .5))
# 
# 
# df_LRs %>%
#   select(listener_id, n_ratings,
#          starts_with("m_"),
#          -ends_with(".conf"),
#          -m_age, -m_neuroticism,
#          -m_conscientiousness,
#          -m_agreeableness,
#          -m_extraversion,
#          -m_openint,
#          -m_attractive,
#          -m_gender,
#          -m_ses,
#          -m_sex) %>%
#   pivot_longer(m_withdrawn:m_open,
#                names_to = "Trait",
#                names_prefix = "m_",
#                values_to = "avg_rating") %>%
#   ggplot(aes(avg_rating)) + 
#   geom_density(fill = "darkblue",
#                alpha = .4)+
#   theme_minimal()+
#   xlim(1,5)+
#   facet_wrap(~factor(Trait, #Coerce ~Trait but as a factor in the specified order
#                      c("withdrawn", "volatile", "compassionate", "polite",
#                        "industrious", "orderly", "enthusiastic", "assertive",
#                        "intellectual", "open")),
#              ncol = 5) +
#   # scale_fill_brewer(palette = "YlGnBu") + 
#   theme(strip.text = element_text(face = "bold"),
#         plot.title = element_text(hjust = .5))




df_LRs %>%
  select(listener_id, n_ratings,
         starts_with("m_"),
         -ends_with(".conf"),
         -m_age, -m_neuroticism,
         -m_conscientiousness,
         -m_agreeableness,
         -m_extraversion,
         -m_openint,
         -m_attractive,
         -m_gender,
         -m_ses,
         -m_sex) %>%
  pivot_longer(m_withdrawn:m_open,
               names_to = "Trait",
               names_prefix = "m_",
               values_to = "avg_rating") %>%
  ggplot(aes(Trait, avg_rating)) + 
  geom_boxplot(outlier.shape = NA)+
  geom_jitter(width = .15,
              height = .05,
              alpha = .3,
              color = "#003594")+
  theme_minimal() +
  labs(title = "Listeners' Average Trait Ratings\nAcross All Speakers",
       y = "Average Rating for All Speakers") +
  theme(plot.title = element_text(hjust = .5),
        axis.text.x = element_text(angle = 20,
                                   hjust = 1,
                                   face = "bold")) + 
  scale_x_discrete(limits = c("withdrawn", "volatile", "compassionate", "polite",
                       "industrious", "orderly", "enthusiastic", "assertive",
                       "intellectual", "open"))

df_LRs %>%
  select(listener_id, n_ratings,
         starts_with("m_"),
         -ends_with(".conf"),
         -m_age, -m_neuroticism,
         -m_conscientiousness,
         -m_agreeableness,
         -m_extraversion,
         -m_openint,
         -m_attractive,
         -m_gender,
         -m_ses,
         -m_sex) %>%
  pivot_longer(m_withdrawn:m_open,
               names_to = "Trait",
               names_prefix = "m_",
               values_to = "avg_rating") %>%
  mutate(Trait = factor(Trait, c("withdrawn", "volatile", "compassionate", "polite",
                       "industrious", "orderly", "enthusiastic", "assertive",
                       "intellectual", "open"))) %>%
  group_by(Trait) %>%
  summarise(Mean_rating = round(mean(avg_rating),2),
            SD = round(sd(avg_rating), 2)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width(everything() ~ px(120)) %>%
  cols_align("center")
Trait Mean_rating SD
withdrawn 1.93 0.53
volatile 1.90 0.58
compassionate 2.75 0.52
polite 3.17 0.50
industrious 3.07 0.58
orderly 3.19 0.53
enthusiastic 2.67 0.54
assertive 2.73 0.55
intellectual 3.07 0.53
open 2.79 0.53

Attractiveness

Listeners rated speakers’ attractiveness using a 100-point visual analogue scale slider (VAS) with anchor values of “Not attractive” (0), “Neutral” (50), and “Attractive” (100). Numerical values were not displayed to the listeners. Listeners were required to click on the VAS to make a rating.

df_LRs %>%
  summarise(Mean = round(mean(m_attractive),2),
            SD = round(sd(m_attractive),2),
            Med = median(m_attractive)) %>%
  gt() %>%
  tab_options(table.align = "center") %>%
  cols_width( everything() ~ px(100)) %>%
  cols_align("center")
Mean SD Med
61.53 12.71 61.4 
# df_LRs %>%
#   ggplot(aes(m_attractive)) + 
#   geom_density() + 
#   theme_minimal() +
#   geom_vline(xintercept = mean(df_LRs$m_attractive), 
#              linetype = "dotted") +
#   geom_vline(xintercept = mean(df_LRs$m_attractive) + mean(df_LRs$sd_attractive),
#              linetype = "dashed") + 
#   geom_vline(xintercept = mean(df_LRs$m_attractive) - mean(df_LRs$sd_attractive),
#              linetype = "dashed")


df_LRs %>%
  ggplot(aes(m_attractive)) + 
  geom_density() + 
  theme_minimal() +
  labs(x = "Average Rating",
       title = "Average Attractiveness Rating\nAcross All Speakers") +
  theme(plot.title = element_text(hjust = .5))

Age

Listeners rated speakers’ age in 5-year increments using a Likert scale, where:

  1. 18-22

  2. 23-27

  3. 28-32

  4. 33-37

  5. 38-42

  6. 43-47

  7. 48-52

  8. 53-57

  9. 58-62

  10. 63-67

  11. 68+

df_LRs %>%
  ggplot(aes(m_age)) + 
  geom_histogram(fill = "#003594",
                 color = "gray") + 
  xlim(1,11) +
  geom_vline(xintercept = 1:11, 
             linetype = "dashed",
             alpha = .3) +
  theme_minimal() +
  coord_flip() + 
  #scale_y_continuous(breaks = 1:10) + 
  scale_x_continuous(position = "top",
                     breaks = 1:11,
                     labels = 
                       c( "18-22", "23-27", "28-32",
                       "33-37", "38-42", "43-47",
                       "48-52", "53-57", "58-62",
                       "63-67", "68+")) +
  labs(title = "Distribution of Listeners'\nAverage Rating of Speakers' Age",
       caption = "Note: m_age values exist between 1:11,\nvalues in figure converted to 5-year increments for interpretability") +
  theme(plot.title = element_text(hjust = .5,
                                  face = "bold"),
        axis.title = element_text(face = "bold",
                                  size = 14),
        axis.text = element_text(face = "bold",
                                 size = 12)) -> m.age.hist
df_demo %>%
  ggplot(aes(role, age)) + 
  geom_boxplot(width = .3,
               fill = "#003594",
               color = "gray",
               alpha = .8) + 
  geom_jitter(height = .2,
              width = .05,
              alpha = .3) +
  theme_minimal() +
  labs(title = "Speakers' Actual Ages") +
  theme(
    axis.title = element_blank(),
    axis.text.x = element_blank(),
    plot.title = element_text(face = "bold",
                                size = 14,
                              hjust = .5),
    axis.text = element_text(face = "bold",
                             size = 12)
  )+
  #use scale_x_discrete to display only the speaker role, 
  #giving mapping a y variable (age)
  scale_x_discrete(limits = c("speaker")) +
  #place y text on right (old - ignore)
  scale_y_continuous(position = "left",
                     limits = c(18,70)) -> box.age
ggarrange(box.age, m.age.hist,
          align = "h")

# ggsave("figure_age.png")
# 
# ggsave("figure_age_white.png",
#        bg = "white")

Sex

Distribution of average sex rating, where 1 = man and 2 = woman.

The current sample of speakers is 69% female.

df_LRs %>%
  ggplot(aes(m_sex)) + 
  geom_histogram(fill = "#003594",
                 color = "gray") + 
  xlim(1,2) +
  theme_minimal()
## Warning: Removed 2 rows containing missing values (`geom_bar()`).

Masculinity/Femininity

r.sex

1 = speaker is a man

2 = speaker is a woman

Examine average masculinity and feminity ratings based on presumed speaker sex

#Listener rating DF is not included to reduce file size. 

# listenerRatings %>%
#   mutate(r.sex = case_when(
#     r.sex == 1 ~ "Spkr is male",
#     r.sex == 2 ~ "Spkr is female"
#   )) %>%
#   ggplot(aes(r.gender, fill = r.sex)) +
#   geom_density(alpha = .8) + 
#   theme_minimal() + 
#   labs(x = "Perceived masculinity (0) - femininity (100)")+
#   theme(legend.title = element_blank(),
#         legend.position = "bottom") + 
#   scale_fill_brewer(palette = "YlGnBu") +
#   guides(fill = guide_legend(reverse = T))

# Output of this code is shown below
Distribution of masculinity / femininity ratings by assumed speaker sex

Distribution of masculinity / femininity ratings by assumed speaker sex

SES

Listeners rated each speaker using a 6-point Likert scale with the following options:

0 = I don’t know

1 = Upper class

2 = Upper-middle class

3 = Middle class

4 = Working class

5 = Lower class

Distribution of raw ratings

*code used to calculate not included due to the large file size

Distribution of SES ratings from listeners

Distribution of SES ratings from listeners

Here is a distribution of the average SES ratings across all respective listeners.

df_LRs %>%
  ggplot(aes(m_ses)) + 
  geom_histogram(fill = "#003594",
                 color = "gray") + 
  theme_minimal() + 
 # xlim(0,5)
  labs(title = "Histogram of Listeners' Mean SES Ratings\nAcross All Speakers") + 
  theme(plot.title = element_text(hjust = .5))

RQ 1: Do listeners uniformly rate people higher or lower on certain traits?

Regression analysis showing that volatility and withdrawal are significantly lower

#set contrast? 

#convert to long format

df_LRs %>%
  select(listener_id, n_ratings,
         starts_with("m_"),
         -ends_with(".conf"),
         -m_age, -m_neuroticism,
         -m_conscientiousness,
         -m_agreeableness,
         -m_extraversion,
         -m_openint,
         -m_attractive,
         -m_gender,
         -m_ses,
         -m_sex) %>%
  pivot_longer(m_withdrawn:m_open,
               names_to = "Trait",
               names_prefix = "m_",
               values_to = "avg_rating") -> avg_traits_long

#add variable corresponding to big five

avg_traits_long %>%
  mutate(Domain = case_when(
    Trait == "withdrawn" ~ "Neuroticism",
    Trait == "volatile" ~ "Neuroticism",
    Trait == "compassionate" ~ "Agreeableness",
    Trait == "polite" ~ "Agreeableness",
    Trait == "industrious" ~ "Conscientiousness",
    Trait == "orderly" ~ "Conscientiousness",
    Trait == "enthusiastic" ~ "Extraversion",
    Trait == "assertive" ~ "Extraversion",
    Trait == "intellectual" ~ "Open/Intellect",
    Trait == "open" ~ "Open/Intellect"
  )) -> avg_traits_long

avg_traits_long %>%
  ggplot(aes(Trait, avg_rating, fill = Domain)) +
  geom_boxplot(outlier.alpha = .5) +
  # geom_jitter(width = .1, 
  #             alpha = .1)+
  theme_minimal() +
  labs(x = "Aspect Level Traits",
       title = "Distribution of Listeners' Average Trait Ratings")+
  theme(axis.text.x = element_text(angle = 20,
                                   face = "bold",
                                   hjust = .75,
                                   size = 10),
        legend.position = "bottom",
        legend.text = element_text(face = "bold",
                                   size = 10),
        plot.title = element_text(hjust = .5)) + 
  scale_fill_brewer(palette = "YlGnBu") +
  scale_x_discrete(limits = c("compassionate", "polite",
                              "industrious", "orderly",
                              "assertive", "enthusiastic",
                              "volatile", "withdrawn",
                              "intellectual", "open")) -> traits_box


traits_box

# ggsave("dist_avg_ratigns.png",
#        plot = traits_box,
#        dpi = 300,
#        width = 8,
#        height = 5,
#        units = "in")
#

Regression between average traits:

summary(lm(avg_rating ~ Trait, data = avg_traits_long))
## 
## Call:
## lm(formula = avg_rating ~ Trait, data = avg_traits_long)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.07036 -0.36560  0.00093  0.33440  2.70093 
## 
## Coefficients:
##                    Estimate Std. Error t value Pr(>|t|)    
## (Intercept)         2.73490    0.01576 173.532  < 2e-16 ***
## Traitcompassionate  0.01840    0.02229   0.826  0.40909    
## Traitenthusiastic  -0.06083    0.02229  -2.729  0.00636 ** 
## Traitindustrious    0.33522    0.02229  15.040  < 2e-16 ***
## Traitintellectual   0.33070    0.02229  14.837  < 2e-16 ***
## Traitopen           0.05247    0.02229   2.354  0.01859 *  
## Traitorderly        0.45816    0.02229  20.556  < 2e-16 ***
## Traitpolite         0.43546    0.02229  19.538  < 2e-16 ***
## Traitvolatile      -0.83583    0.02229 -37.501  < 2e-16 ***
## Traitwithdrawn     -0.80805    0.02229 -36.254  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.54 on 11730 degrees of freedom
## Multiple R-squared:  0.4045, Adjusted R-squared:  0.404 
## F-statistic: 885.3 on 9 and 11730 DF,  p-value: < 2.2e-16
confint(lm(avg_rating ~ Trait, data = avg_traits_long))
##                           2.5 %      97.5 %
## (Intercept)         2.704005387  2.76579064
## Traitcompassionate -0.025289200  0.06208835
## Traitenthusiastic  -0.104515746 -0.01713820
## Traitindustrious    0.291532365  0.37890991
## Traitintellectual   0.287012661  0.37439021
## Traitopen           0.008778178  0.09615572
## Traitorderly        0.414466870  0.50184442
## Traitpolite         0.391771473  0.47914902
## Traitvolatile      -0.879514333 -0.79213679
## Traitwithdrawn     -0.851735848 -0.76435830

RQ 2: Are there features of a listener that influence their judments made about speakers?

Combine demographic features with rating features

df_demo %>%
  mutate(ID = as.numeric(ID)) %>%
  select(ID, age, sex, gender, ses, edu, 
         Withdrawal:cesd.total) %>%
  right_join(df_LRs, by = c("ID" = "listener_id")) -> df_combined

df_combined %>%
  rename(listener_id = ID) -> df_combined


#three participants (428, 486, 1386) do not have any demographic information and will be removed
df_combined %>%
  filter(listener_id != 428,
         listener_id!= 486,
         listener_id != 1386) -> df_combined

Using the following DF to examine correlation matrix of variables of interest:

df_combined %>%
  mutate(sex = case_when(
    sex == "male" ~ 1,
    sex == "female" ~ 2
  )) %>%
  select(-listener_id, 
         -gender, 
         -starts_with("sd_"),
         -ends_with(".conf"),
         -n_ratings,
         #Removing the big five traits
         -Neuroticism, -Agreeableness, -Conscientiousness, 
         -Extraversion, -Int.Open,
         -m_neuroticism, -m_agreeableness, -m_conscientiousness,
         -m_extraversion, -m_openint) -> df_cor


#variables used for correlation matrix:
#only showing 100 rows
df_cor %>%
  head(100) %>%
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
age sex ses edu Withdrawal Volatility Compassion Politeness Industriousness Orderliness Enthusiasm Assertiveness Intellect Openness cesd.total m_age m_withdrawn m_volatile m_compassionate m_polite m_industrious m_orderly m_enthusiastic m_assertive m_intellectual m_open m_attractive m_gender m_ses m_sex
28 1 2 7 3.1 3.6 1.7 2.1 2.9 2.6 1.9 3.6 3.4 3.1 11 3.729730 2.621622 2.824324 3.040541 3.108108 3.756757 3.837838 2.743243 3.040541 3.513514 2.797297 58.39189 57.52703 2.9054054 1.635135
46 2 3 8 2.6 2.2 3.8 3.5 3.7 3.1 3.2 3.8 3.6 3.5 10 2.352941 1.823529 1.235294 2.823529 2.941177 2.882353 3.117647 2.647059 2.705882 3.176471 2.764706 56.58824 54.00000 2.4705882 1.588235
28 2 3 7 3.8 2.6 5.0 4.0 3.0 3.8 4.5 4.6 2.6 3.0 44 2.391892 3.175676 1.891892 2.243243 3.391892 3.608108 3.243243 2.297297 2.527027 3.391892 2.094595 69.59459 58.71622 2.9594595 1.635135
29 2 4 5 2.9 2.5 3.9 3.8 3.4 4.0 3.6 3.5 3.6 3.7 3 3.747475 2.222222 2.464647 2.656566 2.707071 2.696970 2.737374 2.222222 2.343434 2.838384 2.414141 53.48485 58.66667 2.9090909 1.606061
48 2 3 8 3.0 2.6 3.3 3.1 4.2 3.6 3.6 3.3 3.7 4.0 15 3.625000 3.541667 3.041667 3.208333 3.541667 3.416667 3.500000 3.666667 3.583333 3.541667 3.375000 81.08333 65.95833 3.0000000 1.625000
54 2 3 6 3.9 3.9 3.4 3.9 2.8 4.1 3.0 2.3 2.4 3.3 10 3.000000 1.266667 1.866667 2.600000 3.133333 2.800000 2.600000 2.266667 2.200000 3.266667 2.600000 70.20000 65.73333 2.4000000 1.600000
61 2 3 5 1.5 1.6 5.0 4.9 4.9 4.2 4.5 3.8 5.0 4.8 10 3.416667 1.375000 1.791667 2.541667 3.000000 4.833333 4.791667 2.875000 2.500000 3.125000 3.375000 87.83333 63.75000 2.9166667 1.625000
20 2 4 4 3.1 3.4 3.1 3.4 3.2 2.9 3.2 3.5 3.1 3.6 28 3.430233 3.081395 2.767442 3.058139 2.848837 3.069767 3.104651 3.139535 2.872093 3.116279 3.011628 56.79070 57.02326 2.0348837 1.639535
42 1 5 4 1.9 1.8 4.1 4.5 4.3 3.8 3.7 4.0 4.7 3.7 4 2.166667 1.333333 1.041667 3.541667 3.750000 3.833333 3.708333 3.041667 3.875000 3.916667 3.708333 86.45833 64.37500 3.4166667 1.625000
36 2 4 3 2.9 2.8 4.0 3.6 3.7 3.8 4.1 3.7 3.9 4.3 9 3.208333 1.583333 1.458333 2.666667 3.083333 2.875000 2.958333 2.583333 2.416667 2.750000 1.958333 70.83333 62.29167 3.2916667 1.625000
35 2 3 4 1.8 1.3 3.9 4.0 4.9 4.2 4.1 4.0 4.2 3.9 4 3.183673 1.816326 1.428571 2.102041 2.795918 2.795918 3.224490 2.428571 2.877551 3.367347 2.265306 49.63265 65.30612 0.0408163 1.653061
34 2 3 7 1.8 1.7 3.6 3.6 4.5 3.9 4.2 4.1 4.2 4.9 5 3.250000 2.478261 2.750000 1.916667 1.291667 1.166667 1.166667 1.208333 1.250000 1.291667 1.083333 14.95833 58.50000 0.2500000 1.625000
26 1 3 7 2.1 1.6 3.3 3.7 3.1 2.3 3.9 3.6 4.5 3.4 33 2.591837 2.877551 2.693878 2.775510 3.408163 3.510204 3.591837 2.734694 2.612245 4.061224 2.816327 78.24490 57.97959 3.3469388 1.632653
26 2 4 8 3.7 1.9 3.1 4.1 3.0 3.7 2.1 2.3 3.3 3.9 18 1.916667 2.333333 1.333333 2.291667 2.875000 2.958333 2.791667 2.291667 1.500000 1.875000 1.666667 49.79167 55.75000 3.6666667 1.625000
28 2 3 7 2.4 2.2 4.0 4.0 4.1 4.2 3.0 3.4 4.2 3.8 7 2.291667 1.166667 1.291667 2.958333 3.333333 3.291667 3.583333 2.166667 2.666667 3.375000 2.916667 62.41667 57.50000 2.5833333 1.625000
34 2 3 7 3.1 2.4 4.0 2.7 4.2 4.4 4.0 4.0 4.0 3.8 24 4.212121 3.535353 3.414141 3.494950 3.545454 3.747475 3.737374 3.626263 3.858586 3.717172 3.818182 70.91919 58.41414 2.9494949 1.626263
52 1 4 7 2.0 2.0 2.7 3.4 3.1 3.0 2.3 2.1 3.5 3.8 0 2.041667 1.500000 2.083333 3.000000 2.750000 3.625000 3.500000 3.333333 2.750000 2.750000 2.666667 66.16667 63.37500 2.9166667 1.625000
48 1 2 7 2.1 3.9 3.7 2.7 2.7 2.6 3.1 4.0 4.0 3.5 4 2.250000 2.291667 2.208333 2.833333 3.375000 3.166667 3.000000 2.666667 3.041667 2.666667 2.541667 54.00000 61.08333 3.0833333 1.583333
39 1 4 5 2.1 1.9 4.0 4.3 4.1 4.1 3.6 3.6 3.9 4.0 3 3.991935 1.717742 1.685484 3.306452 3.451613 3.250000 3.088710 2.822581 2.838710 3.225807 2.975807 69.77419 64.50806 2.3467742 1.637097
40 2 3 8 1.7 2.1 3.7 4.0 4.5 3.6 4.0 3.6 3.4 4.0 0 4.354839 1.701613 1.766129 3.169355 3.362903 3.298387 3.266129 3.379032 3.161290 3.314516 3.362903 71.64516 65.79032 2.7258065 1.645161
51 1 3 5 2.0 2.1 4.6 3.4 3.5 2.8 3.9 4.1 2.9 2.9 4 2.405405 1.821918 1.486487 2.824324 3.324324 2.864865 3.189189 2.621622 2.621622 2.972973 2.824324 74.98649 65.45946 3.6756757 1.635135
19 2 2 4 2.2 1.0 4.8 4.9 4.1 3.7 3.9 3.6 4.7 5.0 24 2.530612 2.551020 2.489796 3.551020 4.142857 3.877551 3.836735 3.448980 2.877551 3.000000 2.857143 83.24490 62.89796 2.6734694 1.632653
38 1 2 7 2.0 1.5 3.4 4.5 4.6 4.2 2.9 3.2 4.7 3.8 2 3.862637 2.065934 1.769231 2.450550 2.835165 2.747253 2.972527 2.038461 2.423077 2.736264 2.192308 63.04945 56.31868 3.0769231 1.648352
57 2 3 7 1.9 1.7 4.6 3.7 4.2 4.2 4.3 3.7 4.6 4.7 1 2.360000 1.400000 1.200000 2.920000 3.440000 3.600000 3.720000 2.480000 2.600000 3.600000 2.760000 62.52000 56.56000 3.0400000 1.640000
25 2 2 8 2.5 2.4 4.0 4.0 4.3 4.1 4.2 4.0 4.5 4.0 2 3.040000 1.520000 1.080000 2.800000 3.400000 1.800000 3.280000 3.120000 3.440000 3.360000 3.320000 69.00000 58.36000 1.2800000 1.680000
61 2 2 7 2.1 2.6 3.3 3.1 3.4 3.0 3.5 3.3 4.0 3.9 19 3.875000 2.500000 1.666667 2.791667 3.166667 3.083333 2.916667 3.208333 2.958333 2.958333 3.000000 72.25000 62.54167 2.0000000 1.625000
25 2 3 3 2.3 2.1 3.7 3.8 3.8 3.6 3.5 3.5 3.8 3.4 0 3.000000 2.700000 2.800000 2.900000 2.900000 2.900000 2.800000 2.600000 2.800000 3.000000 2.800000 62.10000 56.70000 1.3000000 1.500000
50 2 3 9 3.3 1.8 4.8 4.3 1.6 2.3 3.4 2.5 4.5 3.7 40 3.054054 2.432432 2.864865 3.324324 3.135135 3.405405 3.081081 3.675676 3.189189 3.162162 3.459459 56.72973 54.89189 2.9459459 1.594595
37 2 4 5 3.2 3.0 4.7 4.4 3.1 3.8 3.0 2.7 3.7 3.9 2 4.053333 1.453333 1.360000 2.960000 3.320000 2.906667 3.053333 2.693333 2.653333 3.320000 2.293333 77.29333 54.60000 2.2133333 1.626667
55 1 2 7 2.7 2.9 3.2 2.9 3.8 3.2 3.5 3.8 4.3 3.8 28 3.125000 2.333333 1.125000 2.750000 2.875000 2.833333 2.958333 2.916667 3.041667 3.291667 3.125000 71.50000 66.66667 2.2916667 1.625000
36 2 3 7 2.7 3.0 3.4 3.7 4.3 3.9 3.0 4.0 3.5 3.4 15 3.411290 2.758065 2.572581 3.072581 2.854839 3.088710 3.016129 3.040323 2.943548 3.209677 3.241935 67.23387 46.19355 2.6854839 1.653226
62 2 5 7 3.1 2.8 3.6 3.4 3.8 3.7 3.4 3.7 3.5 3.4 30 4.080000 1.853333 1.826667 2.626667 2.640000 2.853333 2.960000 2.946667 3.133333 2.613333 2.586667 59.61333 64.73333 2.0133333 1.640000
44 2 3 5 1.5 1.9 4.5 4.3 4.9 4.1 3.9 3.5 4.0 3.8 4 4.370968 1.693548 2.370968 2.750000 3.903226 3.951613 3.798387 3.572581 3.500000 3.161290 3.040323 78.58871 64.38710 3.0564516 1.637097
38 1 4 7 1.9 2.8 4.2 4.0 4.5 4.2 2.9 3.3 3.9 3.1 4 2.411290 1.475807 1.306452 3.306452 3.508065 3.000000 3.427419 3.024193 3.080645 3.548387 2.508065 80.00000 63.87903 0.0322581 1.637097
34 2 3 7 3.0 2.9 4.6 4.2 2.9 2.5 3.4 3.1 4.1 4.0 17 5.080000 2.040000 1.920000 2.880000 2.520000 2.640000 2.400000 2.960000 2.480000 2.480000 2.920000 55.56000 58.00000 3.0400000 1.640000
44 1 5 3 3.9 3.4 4.5 4.5 4.3 4.5 3.8 3.2 4.7 4.5 37 2.777778 1.838384 1.444444 4.060606 4.202020 4.505051 4.606061 3.656566 3.878788 4.656566 4.080808 82.56566 68.01010 2.0303030 1.656566
36 1 4 2 3.1 3.3 4.5 4.0 3.7 3.6 2.8 3.9 3.5 4.2 13 3.510204 2.000000 1.632653 3.367347 3.448980 3.632653 3.367347 3.183673 3.244898 3.367347 3.163265 66.89796 56.93878 2.7551020 1.612245
38 2 3 8 2.0 2.0 3.4 3.8 3.7 3.8 2.6 2.9 3.6 3.7 3 2.836735 1.795918 1.836735 2.163265 2.918367 2.510204 2.244898 2.673469 2.081633 1.897959 2.408163 67.02041 56.46939 2.8979592 1.673469
34 2 3 4 3.1 2.2 4.0 4.7 2.1 2.9 3.0 1.5 3.1 4.4 36 2.920000 2.140000 1.840000 2.820000 3.240000 2.880000 2.960000 2.960000 2.420000 2.680000 2.400000 58.64000 50.78000 2.9400000 1.620000
25 2 3 7 3.1 2.8 4.6 4.1 2.3 3.4 3.1 3.2 4.5 4.7 14 2.750000 1.947368 2.171053 2.736842 3.197368 2.644737 2.921053 2.631579 2.447368 2.302632 2.960526 50.06579 59.28947 2.5394737 1.631579
28 2 4 8 3.4 3.2 4.0 4.0 2.6 2.8 3.4 2.4 3.6 4.1 12 3.000000 1.866667 1.466667 2.666667 2.800000 2.333333 2.666667 2.533333 2.266667 2.666667 2.466667 62.20000 65.33333 2.8000000 1.666667
28 1 4 5 2.8 1.3 3.3 4.4 2.5 2.6 2.0 2.9 4.3 4.1 18 3.280000 2.520000 1.560000 2.520000 2.640000 2.520000 2.640000 2.000000 2.040000 2.480000 2.960000 53.56000 59.36000 2.7600000 1.600000
40 2 3 8 2.5 2.5 3.9 4.3 2.6 2.9 3.3 2.1 2.7 2.9 10 4.680000 1.360000 1.400000 3.200000 3.400000 3.440000 3.440000 2.880000 2.600000 3.840000 3.000000 61.44000 61.24000 2.2400000 1.600000
36 1 3 10 2.7 2.4 3.7 3.7 3.5 3.4 3.3 3.3 3.3 3.5 0 4.640000 1.000000 1.000000 3.040000 3.040000 3.000000 3.000000 3.040000 3.000000 3.000000 3.000000 67.80000 56.32000 0.0000000 1.600000
34 1 5 2 2.8 2.3 4.7 4.0 4.2 3.9 3.6 4.1 4.3 4.5 20 3.282258 2.072581 1.677419 3.032258 3.209677 3.048387 2.975807 2.911290 2.967742 3.145161 3.040323 49.47581 58.12097 3.4758065 1.637097
30 2 4 3 2.2 2.0 4.4 4.7 3.8 3.9 3.6 3.0 4.0 4.5 8 3.760000 2.200000 2.080000 2.440000 2.880000 2.680000 3.040000 2.600000 2.440000 3.000000 2.600000 82.32000 56.24000 2.6400000 1.600000
36 2 4 3 3.3 3.0 4.0 4.0 3.6 3.7 4.0 3.7 4.0 4.2 21 3.580000 1.370000 1.470000 2.790000 3.200000 3.200000 3.490000 2.320000 2.380000 2.900000 1.910000 79.85000 63.38000 3.1900000 1.650000
37 2 3 8 1.8 1.8 3.6 4.2 4.5 4.9 2.5 4.1 4.4 3.0 0 3.625000 1.416667 2.041667 2.333333 2.833333 3.250000 3.041667 2.791667 2.166667 3.083333 2.166667 61.50000 60.91667 1.8333333 1.625000
23 1 4 7 4.0 2.9 4.2 4.6 3.1 3.4 3.4 2.5 3.3 3.0 48 3.400000 2.100000 2.800000 2.600000 3.100000 3.200000 3.200000 2.500000 3.000000 3.500000 2.800000 41.30000 51.10000 2.5000000 1.500000
37 1 2 2 2.9 2.7 3.3 2.6 3.5 3.4 3.3 3.1 3.8 3.3 37 4.636364 4.090909 3.727273 4.090909 3.727273 4.545454 3.545454 4.090909 4.090909 4.090909 4.454546 82.90909 62.27273 2.5454545 1.545454
28 2 3 5 2.7 3.8 3.9 4.1 3.8 2.9 4.0 3.7 3.9 3.6 2 3.416667 2.000000 1.916667 2.333333 2.166667 2.291667 2.000000 2.125000 2.458333 2.416667 2.708333 55.12500 62.45833 2.5000000 1.583333
38 2 4 5 2.0 3.3 4.8 4.4 4.1 4.0 4.2 3.8 4.6 4.2 1 3.791667 1.666667 1.625000 4.416667 4.541667 4.333333 4.250000 4.166667 3.458333 3.708333 3.958333 77.45833 63.87500 2.6250000 1.583333
23 2 2 4 3.8 2.2 4.1 3.5 2.5 3.8 3.0 3.5 4.4 4.7 53 2.840000 1.660000 1.760000 3.060000 3.280000 3.200000 3.300000 2.940000 3.040000 3.260000 2.960000 80.98000 54.42000 2.7600000 1.620000
24 2 5 3 2.3 3.4 2.4 3.9 2.2 3.2 3.2 2.8 2.3 2.3 37 3.352941 1.882353 2.588235 3.000000 2.941177 3.941177 3.764706 2.235294 3.176471 2.764706 2.588235 57.35294 53.17647 3.8235294 1.588235
36 1 3 7 3.2 3.1 3.1 2.8 2.9 3.1 2.9 2.9 3.1 3.2 26 3.041667 3.125000 2.958333 3.291667 3.250000 3.333333 3.208333 3.458333 3.291667 3.208333 3.291667 59.25000 53.70833 2.1250000 1.666667
51 2 4 7 2.9 1.6 4.5 4.8 3.9 4.5 4.1 3.7 4.1 4.4 19 3.326531 1.714286 1.938775 3.183673 3.244898 3.346939 3.183673 2.979592 3.224490 3.469388 2.897959 82.42857 61.63265 3.0612245 1.632653
67 2 4 8 2.2 2.0 3.9 4.4 3.8 3.0 3.8 3.6 4.0 4.0 1 3.600000 1.820000 2.280000 2.620000 2.920000 3.060000 3.080000 2.920000 2.860000 2.980000 2.820000 71.52000 57.96000 0.9400000 1.620000
35 2 4 7 2.9 1.9 2.8 3.6 3.5 3.3 3.1 2.5 2.7 3.1 9 3.919192 1.595960 1.555556 2.787879 3.080808 2.969697 3.121212 2.444444 2.797980 2.737374 2.727273 51.08081 57.40404 2.7474747 1.636364
24 2 3 4 4.6 4.8 4.6 3.9 1.9 3.5 4.1 2.2 3.3 4.8 49 1.708333 2.208333 1.833333 2.708333 3.458333 3.333333 3.208333 2.583333 2.083333 3.125000 3.125000 56.12500 62.12500 2.3750000 1.625000
48 2 3 5 2.5 2.6 4.1 3.9 3.8 4.2 3.0 3.5 3.8 3.8 10 3.048387 1.403226 1.919355 3.177419 3.362903 3.500000 3.612903 2.927419 2.766129 3.266129 3.088710 61.61290 59.84677 3.3548387 1.629032
32 2 3 7 3.3 3.6 2.4 4.5 3.4 4.5 2.7 4.3 3.5 3.9 30 3.951613 2.548387 2.137097 3.008065 3.612903 4.056452 4.370968 2.338710 3.685484 3.129032 3.282258 66.63710 54.70161 2.6693548 1.653226
48 2 2 7 1.8 3.1 3.7 3.2 4.1 4.7 2.4 4.5 4.3 3.1 18 3.560000 1.625000 2.320000 2.280000 2.600000 3.080000 3.120000 2.160000 2.440000 2.720000 1.880000 63.56000 58.48000 2.6800000 1.600000
55 2 3 4 3.5 3.5 4.7 4.8 3.8 4.0 3.4 2.8 2.8 3.7 2 3.274193 1.669355 1.669355 2.459677 3.217742 3.475807 3.354839 3.048387 2.370968 3.145161 2.145161 90.58065 63.04032 2.6854839 1.637097
40 2 3 4 2.8 2.7 4.1 4.4 3.1 3.6 4.5 3.3 3.4 3.2 7 3.551020 1.653061 1.102041 2.551020 3.224490 2.326531 2.897959 1.857143 1.836735 2.979592 2.326531 64.91837 60.57143 2.4081633 1.612245
42 2 4 4 3.0 1.2 4.5 4.6 3.5 4.2 3.7 2.9 3.5 4.3 7 3.800000 1.700000 1.900000 2.000000 2.500000 2.700000 2.900000 2.600000 2.300000 2.600000 2.200000 48.90000 61.60000 3.2000000 1.600000
52 1 4 4 2.3 2.8 2.6 2.7 3.1 3.6 2.8 3.2 3.7 2.8 4 3.360000 2.240000 2.560000 1.440000 2.600000 3.040000 3.240000 2.360000 2.640000 3.000000 2.040000 47.56000 51.24000 1.0000000 1.600000
21 2 3 3 3.9 3.7 4.6 3.5 3.3 4.3 3.8 2.7 3.3 4.5 6 2.640000 1.400000 1.160000 2.040000 2.920000 1.440000 2.280000 1.640000 1.600000 2.760000 2.000000 60.60000 64.24000 2.2000000 1.640000
21 2 4 4 3.9 2.9 4.8 4.9 2.9 3.7 3.1 3.0 4.0 5.0 64 2.480000 2.720000 2.400000 2.960000 2.720000 2.680000 3.000000 3.160000 2.680000 2.800000 2.520000 54.44000 53.40000 1.5600000 1.640000
49 2 4 5 3.4 2.1 4.9 4.5 3.6 3.9 3.5 3.3 3.8 4.3 8 3.600000 1.840000 2.760000 2.840000 3.120000 3.560000 3.120000 2.800000 3.000000 2.880000 2.480000 64.20000 63.84000 3.2800000 1.640000
21 2 4 3 3.8 3.7 4.2 4.5 2.9 3.5 3.2 2.9 3.6 4.2 20 1.809524 1.666667 2.000000 2.904762 3.571429 2.952381 3.285714 2.952381 3.142857 2.952381 2.380952 72.66667 60.76190 2.5714286 1.666667
27 2 4 4 3.4 3.7 4.6 3.2 3.0 3.3 2.9 4.1 3.7 4.4 16 2.080000 2.880000 2.440000 2.000000 2.520000 2.760000 2.880000 1.760000 2.160000 2.520000 2.320000 59.80000 58.52000 2.1200000 1.640000
46 1 4 7 3.6 2.5 4.1 4.5 2.9 3.0 3.6 2.7 4.0 4.5 5 3.453333 1.680000 1.400000 2.640000 2.653333 2.360000 2.426667 2.346667 2.000000 2.400000 2.480000 55.24000 59.17333 3.0666667 1.653333
32 2 3 7 2.7 3.6 3.9 3.6 3.7 3.7 3.0 2.2 3.3 3.7 4 4.169355 1.669355 2.427419 2.790323 3.467742 2.911290 3.040323 2.475807 2.024193 2.895161 2.475807 60.00000 54.42742 0.4516129 1.629032
36 1 3 4 1.9 1.6 3.8 4.3 4.4 3.8 3.8 3.6 4.2 3.8 7 3.640000 1.920000 1.480000 2.880000 3.680000 3.080000 3.120000 2.280000 2.360000 2.280000 3.280000 61.88000 64.84000 3.1600000 1.680000
54 1 2 8 2.1 2.0 4.1 4.6 4.6 4.2 2.8 2.3 4.7 3.1 1 3.040000 1.640000 1.640000 2.920000 3.520000 3.440000 3.520000 2.840000 2.680000 3.800000 2.720000 51.36000 54.84000 2.4400000 1.640000
36 2 4 6 3.2 3.6 4.3 3.4 2.8 3.5 3.5 3.5 4.2 4.9 9 2.846774 1.645161 1.717742 3.233871 3.911290 4.193548 3.983871 2.943548 3.540323 3.919355 3.153226 60.07258 63.26613 2.1693548 1.637097
28 1 4 7 2.4 1.9 3.8 4.2 3.2 3.3 4.4 3.2 3.7 3.8 3 3.390000 2.484849 2.500000 2.820000 3.250000 2.810000 2.870000 2.240000 2.840000 3.010000 2.760000 51.94000 60.60000 2.8200000 1.600000
30 2 4 7 4.7 4.0 4.6 4.5 2.3 3.6 4.3 2.0 3.4 4.8 45 2.888889 2.500000 1.888889 4.333333 4.555556 3.555556 3.333333 4.444444 3.111111 4.666667 3.888889 96.11111 56.05556 2.3888889 1.555556
36 2 3 8 2.9 2.8 4.1 4.1 3.6 3.6 3.5 3.5 3.8 3.8 19 2.600000 1.360000 1.373333 2.466667 2.800000 3.213333 2.813333 2.160000 2.746667 2.626667 2.106667 49.58667 59.54667 0.3600000 1.653333
41 2 3 4 2.7 2.8 3.9 3.7 2.9 3.5 3.1 2.9 3.3 3.3 1 3.960000 2.160000 1.300000 3.120000 3.540000 3.180000 3.460000 2.880000 2.900000 3.220000 2.980000 61.52000 59.84000 2.8000000 1.600000
50 1 3 7 2.1 2.0 2.2 3.3 3.3 3.1 2.4 2.2 3.5 3.2 0 3.714286 1.642857 1.214286 2.428571 2.714286 2.714286 3.142857 2.785714 2.500000 2.928571 2.571429 50.71429 56.92857 0.0000000 1.714286
40 1 4 5 2.8 2.7 3.6 4.3 4.2 3.9 2.9 2.9 3.8 3.5 9 2.900000 2.460000 2.040000 2.230000 2.990000 2.290000 2.560000 1.840000 2.040000 2.540000 2.040000 63.66000 63.53000 0.1300000 1.630000
58 1 3 7 2.1 1.7 3.6 3.8 4.1 3.8 2.8 3.2 4.0 3.8 2 3.532258 1.233871 1.596774 2.790323 2.766129 3.072581 3.096774 2.758065 2.548387 2.733871 2.766129 62.59677 59.79032 2.6693548 1.637097
37 2 3 7 3.5 1.8 4.5 4.6 2.8 4.0 3.3 3.2 4.6 4.2 19 3.400000 1.960000 1.760000 3.160000 3.400000 3.440000 3.240000 2.720000 3.240000 3.200000 3.000000 62.84000 61.24000 2.6000000 1.640000
37 2 3 8 2.5 1.9 4.3 4.4 4.0 3.5 3.8 3.1 3.8 3.4 3 3.360000 2.200000 2.080000 2.840000 3.200000 3.160000 3.520000 2.800000 3.000000 3.280000 2.760000 62.44000 53.36000 0.9200000 1.640000
36 2 3 7 2.6 2.0 3.7 4.3 3.1 3.8 2.7 3.3 3.5 3.3 26 3.363636 1.727273 2.454546 2.363636 2.500000 2.954546 2.863636 2.318182 2.727273 2.818182 2.545454 57.63636 55.81818 2.6363636 1.681818
40 2 3 3 2.6 3.1 3.7 4.1 3.8 4.2 2.8 3.1 3.9 4.1 8 3.360000 1.520000 1.520000 2.520000 2.720000 2.280000 1.920000 1.960000 1.920000 2.640000 2.120000 61.40000 61.40000 3.7600000 1.640000
31 2 4 8 3.7 3.5 3.7 4.2 3.5 3.2 3.2 2.5 3.8 4.1 17 3.540000 1.800000 1.980000 2.780000 3.280000 3.040000 3.160000 2.280000 2.500000 2.660000 2.920000 67.76000 65.90000 2.5400000 1.660000
68 2 2 8 2.7 3.1 4.4 4.1 3.4 2.8 3.9 3.9 4.0 3.6 6 3.680000 1.440000 1.360000 3.520000 3.720000 3.720000 3.880000 3.640000 3.480000 3.200000 2.720000 63.28000 62.72000 2.2800000 1.640000
28 2 3 3 4.3 4.0 4.0 2.9 2.5 3.2 3.1 2.8 3.4 3.4 18 2.768116 2.043478 1.608696 2.797101 3.217391 2.927536 2.753623 2.753623 2.637681 3.246377 2.811594 70.17391 65.39130 3.3333333 1.637681
39 2 3 7 2.2 2.2 4.7 4.0 3.5 3.2 3.7 3.5 4.0 4.0 4 4.160000 2.320000 3.040000 2.160000 2.680000 3.080000 3.560000 1.520000 2.600000 2.680000 1.800000 38.80000 48.48000 0.0800000 1.600000
32 2 3 8 2.6 3.0 4.0 4.1 4.4 3.8 3.3 2.7 2.9 3.1 2 4.560000 1.640000 2.680000 2.600000 2.680000 2.640000 3.000000 2.360000 3.000000 2.720000 2.240000 64.36000 61.76000 2.6800000 1.640000
22 2 3 5 1.0 1.0 4.1 4.7 5.0 3.4 4.4 3.3 5.0 3.8 0 1.640000 1.612245 1.440000 2.060000 2.260000 2.320000 2.200000 2.120000 2.240000 2.240000 1.880000 47.64000 61.28000 2.2600000 1.680000
42 1 4 4 3.9 3.8 3.2 4.3 2.6 3.0 2.4 1.7 3.3 3.7 38 1.600000 1.920000 1.280000 2.440000 3.040000 2.720000 2.840000 2.280000 2.400000 2.680000 2.560000 50.96000 61.76000 2.7200000 1.640000
21 1 2 3 4.8 3.8 5.0 4.5 2.9 4.0 4.4 2.1 4.7 4.7 62 2.400000 2.360000 1.280000 4.120000 4.480000 3.680000 3.920000 3.640000 3.000000 3.880000 3.800000 60.64000 57.16000 1.6000000 1.600000
45 1 5 6 2.1 2.7 3.6 3.9 3.1 2.9 3.0 2.6 4.6 4.4 7 3.551020 2.285714 2.326531 2.469388 2.755102 2.551020 3.061224 2.102041 2.530612 2.755102 2.204082 73.59184 64.04082 2.7142857 1.632653
33 2 3 4 4.0 4.1 4.6 4.6 3.5 4.5 3.1 2.9 3.7 4.4 8 4.360000 1.840000 1.520000 2.760000 3.560000 3.480000 3.480000 3.000000 2.400000 3.280000 3.280000 60.76000 63.52000 2.8400000 1.680000
42 1 3 7 3.1 2.4 3.8 3.3 3.2 3.6 3.9 4.0 4.0 3.9 29 2.909091 1.515151 2.212121 2.727273 3.575758 3.090909 3.333333 2.878788 2.030303 2.545454 2.939394 49.54545 64.09091 2.8787879 1.666667
40 1 3 4 3.4 3.6 3.8 3.8 3.2 4.5 2.3 2.1 3.1 4.1 26 3.360000 2.000000 2.120000 2.040000 3.200000 3.600000 3.560000 2.720000 2.360000 2.200000 2.040000 64.64000 62.04000 0.2400000 1.640000
30 2 3 9 3.4 3.4 4.2 4.0 2.8 3.5 4.0 2.8 3.3 3.4 13 3.360000 2.080000 1.920000 2.880000 3.000000 3.720000 3.160000 2.760000 3.200000 3.240000 2.560000 66.52000 52.88000 2.5200000 1.640000


Only 100 rows shown


Correlation Matrix

Generate correlation matrix

#generate correlation matrix

df_cor_m <- as.matrix(cor(df_cor))

df_cor_m %>%
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
age sex ses edu Withdrawal Volatility Compassion Politeness Industriousness Orderliness Enthusiasm Assertiveness Intellect Openness cesd.total m_age m_withdrawn m_volatile m_compassionate m_polite m_industrious m_orderly m_enthusiastic m_assertive m_intellectual m_open m_attractive m_gender m_ses m_sex
age 1.0000000 -0.0031582 -0.0431964 0.1042871 -0.2128010 -0.1325248 0.0269701 0.1111426 0.1203268 -0.0519161 -0.0101699 0.0139996 0.0469858 -0.0971563 -0.2026401 0.1811137 -0.3411134 -0.1609739 -0.1012458 -0.0449572 -0.0116223 -0.0129386 0.0542186 0.0022074 -0.0470564 0.0120129 0.1252563 0.1349587 0.0415378 0.0617390
sex -0.0031582 1.0000000 0.0013112 -0.0037968 0.1508498 0.1487684 0.2499781 0.2433874 -0.0113294 0.0983165 0.1405166 -0.0236596 -0.0739875 0.1200144 0.0227978 0.0503489 -0.0878673 -0.0878159 -0.0667143 -0.0029641 0.0012470 -0.0102209 -0.0814775 -0.0370540 0.0259803 -0.0673342 -0.0089730 -0.0451990 -0.0990190 -0.0058521
ses -0.0431964 0.0013112 1.0000000 -0.2227695 0.1704369 0.1034215 0.0460307 0.0755942 -0.1655326 -0.0974424 -0.0977030 -0.0923580 -0.0157402 0.1167692 0.2332878 -0.0287259 -0.0564858 -0.0640411 0.0111017 0.0280313 0.0838836 0.0492097 0.0062119 0.0315260 0.0372746 0.0063981 0.0346487 0.0093669 0.0788164 -0.0070919
edu 0.1042871 -0.0037968 -0.2227695 1.0000000 -0.1342055 -0.0880945 -0.0307071 -0.0666913 0.0746558 -0.0170090 0.0274333 0.0237788 0.0995898 -0.0972375 -0.1668220 0.0867089 0.0117552 0.0344022 -0.0176490 -0.0305791 -0.0085979 0.0286431 -0.0159308 0.0609212 0.0005947 0.0033467 -0.0629451 -0.0445533 -0.0084931 0.0345801
Withdrawal -0.2128010 0.1508498 0.1704369 -0.1342055 1.0000000 0.6910195 0.0537914 -0.0838333 -0.6235606 -0.0916354 -0.3015287 -0.4393127 -0.3417163 0.1041908 0.6502704 -0.0499943 0.1260485 0.0653635 0.0008821 -0.0105003 0.0124246 -0.0106906 -0.0248090 -0.0149631 0.0391539 -0.0464412 -0.0266083 -0.0076970 -0.0143574 0.0254938
Volatility -0.1325248 0.1487684 0.1034215 -0.0880945 0.6910195 1.0000000 -0.0701072 -0.3077947 -0.4871430 -0.1022138 -0.1642880 -0.1773252 -0.3302273 -0.0123343 0.4474678 -0.0067746 0.0689495 0.0651084 -0.0204719 -0.0058698 0.0077012 0.0022713 -0.0477362 -0.0040058 0.0407247 -0.0710800 -0.0102144 -0.0136256 -0.0506602 -0.0013977
Compassion 0.0269701 0.2499781 0.0460307 -0.0307071 0.0537914 -0.0701072 1.0000000 0.4986403 0.1148701 0.1533362 0.5016690 0.1541252 0.3195508 0.4708566 0.0092707 -0.0223439 -0.1065478 -0.0975940 0.0749602 0.1326978 0.1119388 0.1187491 0.0448904 0.0371258 0.1251774 0.0288573 0.1200168 -0.0150590 -0.0008083 -0.0333565
Politeness 0.1111426 0.2433874 0.0755942 -0.0666913 -0.0838333 -0.3077947 0.4986403 1.0000000 0.2531452 0.2737242 0.2025771 -0.1702806 0.1240158 0.1907136 -0.1087747 0.0384839 -0.1757317 -0.1802881 -0.0009353 0.0657899 0.0592344 0.0758951 -0.0361739 -0.0417433 0.0796359 -0.0079472 0.0607023 0.0231273 -0.0465411 -0.0218780
Industriousness 0.1203268 -0.0113294 -0.1655326 0.0746558 -0.6235606 -0.4871430 0.1148701 0.2531452 1.0000000 0.5249293 0.2780318 0.4055515 0.3779415 -0.0362228 -0.5052352 0.0361106 -0.0963480 -0.1217001 0.0172177 0.0505129 0.0025612 0.0718797 0.0365392 0.0189582 0.0849321 0.0815902 0.0929951 0.0794007 -0.0089426 0.0074981
Orderliness -0.0519161 0.0983165 -0.0974424 -0.0170090 -0.0916354 -0.1022138 0.1533362 0.2737242 0.5249293 1.0000000 0.1056691 0.1075016 0.1044357 0.0089388 -0.1870395 0.0469682 -0.0288834 -0.1025053 0.0009562 0.0528147 0.0170176 0.0849581 -0.0037310 -0.0255651 0.0815260 0.0170647 0.0389453 0.0166100 -0.0064421 -0.0067568
Enthusiasm -0.0101699 0.1405166 -0.0977030 0.0274333 -0.3015287 -0.1642880 0.5016690 0.2025771 0.2780318 0.1056691 1.0000000 0.4464596 0.2977422 0.2485839 -0.2424286 0.0145762 -0.0318276 -0.0743393 0.1372047 0.1559946 0.0974875 0.1308107 0.1111843 0.0754330 0.1282005 0.1143553 0.1035732 0.0181281 0.0116814 -0.0284090
Assertiveness 0.0139996 -0.0236596 -0.0923580 0.0237788 -0.4393127 -0.1773252 0.1541252 -0.1702806 0.4055515 0.1075016 0.4464596 1.0000000 0.5128229 0.1874811 -0.1966326 0.0327920 -0.0023590 -0.0021337 0.0418327 0.0610809 0.0627970 0.0942321 0.0768135 0.1047243 0.0552850 0.0996462 0.0937726 0.0071856 0.0643051 -0.0366765
Intellect 0.0469858 -0.0739875 -0.0157402 0.0995898 -0.3417163 -0.3302273 0.3195508 0.1240158 0.3779415 0.1044357 0.2977422 0.5128229 1.0000000 0.4564716 -0.1348412 -0.0156565 -0.0317689 0.0097592 0.1023607 0.1431363 0.0726234 0.1275197 0.0950767 0.0790254 0.0902352 0.1322424 0.0781556 0.0205274 0.0310150 0.0043207
Openness -0.0971563 0.1200144 0.1167692 -0.0972375 0.1041908 -0.0123343 0.4708566 0.1907136 -0.0362228 0.0089388 0.2485839 0.1874811 0.4564716 1.0000000 0.1568026 -0.0729241 0.0104187 -0.0010494 0.1628012 0.1823922 0.1174598 0.1383045 0.0926613 0.0625338 0.1367321 0.1267316 0.1018616 0.0120333 -0.0103074 -0.0051197
cesd.total -0.2026401 0.0227978 0.2332878 -0.1668220 0.6502704 0.4474678 0.0092707 -0.1087747 -0.5052352 -0.1870395 -0.2424286 -0.1966326 -0.1348412 0.1568026 1.0000000 -0.0517493 0.1950117 0.1286132 0.0371855 0.0236118 0.0385779 0.0462704 -0.0157322 0.0381993 0.0681059 -0.0043713 -0.0318559 -0.0334670 0.0263589 -0.0077128
m_age 0.1811137 0.0503489 -0.0287259 0.0867089 -0.0499943 -0.0067746 -0.0223439 0.0384839 0.0361106 0.0469682 0.0145762 0.0327920 -0.0156565 -0.0729241 -0.0517493 1.0000000 -0.0739638 0.0416631 -0.0039608 0.0197119 0.0571909 0.1168705 0.0255611 0.1240372 0.0378387 0.0394134 -0.0317989 0.0123815 0.0654799 0.0537820
m_withdrawn -0.3411134 -0.0878673 -0.0564858 0.0117552 0.1260485 0.0689495 -0.1065478 -0.1757317 -0.0963480 -0.0288834 -0.0318276 -0.0023590 -0.0317689 0.0104187 0.1950117 -0.0739638 1.0000000 0.5787353 0.0990528 0.0252494 -0.0063185 0.0190398 -0.0345622 0.0600704 0.0100422 0.0186609 -0.1184060 -0.0706643 0.1080147 -0.0029333
m_volatile -0.1609739 -0.0878159 -0.0640411 0.0344022 0.0653635 0.0651084 -0.0975940 -0.1802881 -0.1217001 -0.1025053 -0.0743393 -0.0021337 0.0097592 -0.0010494 0.1286132 0.0416631 0.5787353 1.0000000 0.0628484 -0.0717594 0.0763291 0.0287280 0.0719219 0.2446036 -0.0211434 0.0156547 -0.1101484 -0.0770585 0.1550810 0.0077231
m_compassionate -0.1012458 -0.0667143 0.0111017 -0.0176490 0.0008821 -0.0204719 0.0749602 -0.0009353 0.0172177 0.0009562 0.1372047 0.0418327 0.1023607 0.1628012 0.0371855 -0.0039608 0.0990528 0.0628484 1.0000000 0.7291379 0.5010754 0.5359435 0.7072949 0.4609368 0.5372926 0.7054248 0.3892308 0.0657372 0.0918016 0.0076137
m_polite -0.0449572 -0.0029641 0.0280313 -0.0305791 -0.0105003 -0.0058698 0.1326978 0.0657899 0.0505129 0.0528147 0.1559946 0.0610809 0.1431363 0.1823922 0.0236118 0.0197119 0.0252494 -0.0717594 0.7291379 1.0000000 0.5213221 0.6360824 0.5636143 0.3966113 0.5925540 0.6185624 0.3724440 0.0906004 0.0852895 0.0061924
m_industrious -0.0116223 0.0012470 0.0838836 -0.0085979 0.0124246 0.0077012 0.1119388 0.0592344 0.0025612 0.0170176 0.0974875 0.0627970 0.0726234 0.1174598 0.0385779 0.0571909 -0.0063185 0.0763291 0.5010754 0.5213221 1.0000000 0.7569898 0.4987858 0.5757954 0.5878493 0.4778662 0.3262448 0.0479409 0.1243239 0.0140540
m_orderly -0.0129386 -0.0102209 0.0492097 0.0286431 -0.0106906 0.0022713 0.1187491 0.0758951 0.0718797 0.0849581 0.1308107 0.0942321 0.1275197 0.1383045 0.0462704 0.1168705 0.0190398 0.0287280 0.5359435 0.6360824 0.7569898 1.0000000 0.5002676 0.5607090 0.6705113 0.5462010 0.3504439 0.1242542 0.0591476 0.0831211
m_enthusiastic 0.0542186 -0.0814775 0.0062119 -0.0159308 -0.0248090 -0.0477362 0.0448904 -0.0361739 0.0365392 -0.0037310 0.1111843 0.0768135 0.0950767 0.0926613 -0.0157322 0.0255611 -0.0345622 0.0719219 0.7072949 0.5636143 0.4987858 0.5002676 1.0000000 0.5633569 0.5170257 0.7161784 0.4079454 0.0705559 0.1068545 -0.0030161
m_assertive 0.0022074 -0.0370540 0.0315260 0.0609212 -0.0149631 -0.0040058 0.0371258 -0.0417433 0.0189582 -0.0255651 0.0754330 0.1047243 0.0790254 0.0625338 0.0381993 0.1240372 0.0600704 0.2446036 0.4609368 0.3966113 0.5757954 0.5607090 0.5633569 1.0000000 0.5509624 0.5129824 0.3124801 0.0190086 0.0947182 0.0179932
m_intellectual -0.0470564 0.0259803 0.0372746 0.0005947 0.0391539 0.0407247 0.1251774 0.0796359 0.0849321 0.0815260 0.1282005 0.0552850 0.0902352 0.1367321 0.0681059 0.0378387 0.0100422 -0.0211434 0.5372926 0.5925540 0.5878493 0.6705113 0.5170257 0.5509624 1.0000000 0.5799939 0.4026655 0.1131852 -0.0262313 0.0221083
m_open 0.0120129 -0.0673342 0.0063981 0.0033467 -0.0464412 -0.0710800 0.0288573 -0.0079472 0.0815902 0.0170647 0.1143553 0.0996462 0.1322424 0.1267316 -0.0043713 0.0394134 0.0186609 0.0156547 0.7054248 0.6185624 0.4778662 0.5462010 0.7161784 0.5129824 0.5799939 1.0000000 0.3914792 0.1009736 0.0821196 0.0267336
m_attractive 0.1252563 -0.0089730 0.0346487 -0.0629451 -0.0266083 -0.0102144 0.1200168 0.0607023 0.0929951 0.0389453 0.1035732 0.0937726 0.0781556 0.1018616 -0.0318559 -0.0317989 -0.1184060 -0.1101484 0.3892308 0.3724440 0.3262448 0.3504439 0.4079454 0.3124801 0.4026655 0.3914792 1.0000000 0.1789866 0.1331610 0.0475438
m_gender 0.1349587 -0.0451990 0.0093669 -0.0445533 -0.0076970 -0.0136256 -0.0150590 0.0231273 0.0794007 0.0166100 0.0181281 0.0071856 0.0205274 0.0120333 -0.0334670 0.0123815 -0.0706643 -0.0770585 0.0657372 0.0906004 0.0479409 0.1242542 0.0705559 0.0190086 0.1131852 0.1009736 0.1789866 1.0000000 -0.0081723 0.7177463
m_ses 0.0415378 -0.0990190 0.0788164 -0.0084931 -0.0143574 -0.0506602 -0.0008083 -0.0465411 -0.0089426 -0.0064421 0.0116814 0.0643051 0.0310150 -0.0103074 0.0263589 0.0654799 0.1080147 0.1550810 0.0918016 0.0852895 0.1243239 0.0591476 0.1068545 0.0947182 -0.0262313 0.0821196 0.1331610 -0.0081723 1.0000000 0.0021901
m_sex 0.0617390 -0.0058521 -0.0070919 0.0345801 0.0254938 -0.0013977 -0.0333565 -0.0218780 0.0074981 -0.0067568 -0.0284090 -0.0366765 0.0043207 -0.0051197 -0.0077128 0.0537820 -0.0029333 0.0077231 0.0076137 0.0061924 0.0140540 0.0831211 -0.0030161 0.0179932 0.0221083 0.0267336 0.0475438 0.7177463 0.0021901 1.0000000


We are only interested in the traits of the speaker (i.e. personality Aspects and Depression) as they correlate to the speakers’ average ratings across all listeners

Extract r and p matrices

#extract correlation matrix
cor_obj_r <- as.matrix(rcorr(df_cor_m)[[1]])
#exctract p-value matrix
cor_obj_p <- as.matrix(rcorr(df_cor_m)[[3]])

#extract only relationships of interest

cor_obj_r <- cor_obj_r[1:15,16:30]

cor_obj_p <- cor_obj_p[1:15, 16:30]

#Examining SD
# cor_obj_r <- cor_obj_r[1:15,16:50]
# 
# cor_obj_p <- cor_obj_p[1:15, 16:50]

Correlation matrix between speakers’ traits (y axis) and average ratings across listeners (x axis):

cor_obj_r %>%
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
m_age m_withdrawn m_volatile m_compassionate m_polite m_industrious m_orderly m_enthusiastic m_assertive m_intellectual m_open m_attractive m_gender m_ses m_sex
age 0.3331335 -0.6401258 -0.4313755 -0.1828446 -0.1233661 -0.1039950 -0.0931671 -0.0260464 -0.0999747 -0.1289473 -0.0559739 0.1446406 0.2346221 0.0003269 0.1392988
sex -0.0091987 -0.2445779 -0.2923574 -0.3199680 -0.2414199 -0.2440268 -0.2620436 -0.3460958 -0.3323288 -0.2062664 -0.3401086 -0.2212216 -0.1747337 -0.3436859 -0.1255944
ses -0.1594312 -0.0664398 -0.0975341 -0.0435541 -0.0301700 0.0312286 -0.0312272 -0.0636701 -0.0547430 -0.0223176 -0.0767513 -0.0238750 -0.0603195 0.0609079 -0.0677160
edu 0.1856473 -0.0342458 0.0338211 -0.1120420 -0.1277043 -0.1029275 -0.0711751 -0.0777915 -0.0056530 -0.1090083 -0.0665874 -0.1609930 -0.0783952 -0.0502137 0.0100143
Withdrawal -0.1675118 0.2764310 0.1991202 -0.0867722 -0.1199016 -0.0713843 -0.1286003 -0.1480023 -0.1051626 -0.0710142 -0.1784772 -0.1882834 -0.1005609 -0.0747311 -0.0050837
Volatility -0.1109776 0.2536952 0.2030888 -0.1075910 -0.1364277 -0.0820071 -0.1322737 -0.1519739 -0.0907866 -0.0792546 -0.1870564 -0.1823628 -0.1024486 -0.0963674 -0.0156414
Compassion -0.1838638 -0.3618545 -0.4100532 -0.0703389 0.0233559 -0.0429281 -0.0345652 -0.1083054 -0.1764209 -0.0093951 -0.1000501 0.0397876 -0.1763104 -0.2155340 -0.2410216
Politeness -0.0052040 -0.4673744 -0.5014685 -0.1279896 -0.0213831 -0.0671199 -0.0434062 -0.1445225 -0.2166996 -0.0279707 -0.1170333 0.0297362 -0.0314988 -0.2180352 -0.1115399
Industriousness 0.0820131 -0.3275455 -0.3278768 -0.0018377 0.0571777 -0.0178583 0.0586398 0.0423028 -0.0215380 0.0395466 0.0862057 0.1405981 0.0819476 -0.0550598 -0.0290512
Orderliness 0.0232142 -0.2417670 -0.3409069 -0.1255314 -0.0491163 -0.1160693 -0.0461782 -0.1257785 -0.1850838 -0.0366992 -0.0883997 -0.0190313 -0.0363528 -0.1522541 -0.0999798
Enthusiasm -0.0633918 -0.2706217 -0.3091977 0.1022538 0.1601023 0.0663018 0.1084778 0.0932711 0.0188104 0.1045575 0.1151851 0.1503988 -0.0838401 -0.1040843 -0.1835831
Assertiveness -0.0061084 -0.1451290 -0.1296433 0.0412169 0.0685740 0.0195669 0.0641263 0.0785493 0.0610945 0.0261841 0.1065570 0.1123053 -0.0607150 0.0323587 -0.1422157
Intellect -0.1004111 -0.2145736 -0.1946249 0.0709187 0.1192093 0.0261318 0.0807172 0.0766133 0.0187273 0.0468423 0.1178085 0.1032809 -0.0595555 -0.0400609 -0.1363604
Openness -0.3174763 -0.1004201 -0.1664388 0.1184152 0.1628837 0.0696126 0.0768005 0.0407206 -0.0287367 0.0982435 0.0689338 0.0743455 -0.1571682 -0.1627751 -0.2031186
cesd.total -0.2068742 0.3696311 0.2878404 -0.0374644 -0.0807158 -0.0302847 -0.0834966 -0.1089301 -0.0435426 -0.0407376 -0.1274005 -0.1868115 -0.1521256 -0.0132863 -0.0620828


P values of correlations

cor_obj_p %>%
  kbl(table.attr = "style = \"color: black;\"") %>%
  kable_styling(bootstrap_options = c("striped", "hover"), position = "center") %>%
  scroll_box(width = "100%", height = "400px")
m_age m_withdrawn m_volatile m_compassionate m_polite m_industrious m_orderly m_enthusiastic m_assertive m_intellectual m_open m_attractive m_gender m_ses m_sex
age 0.0720353 0.0001392 0.0173075 0.3334878 0.5160280 0.5844562 0.6243595 0.8913287 0.5991411 0.4970702 0.7689225 0.4457082 0.2120376 0.9986322 0.4628623
sex 0.9615221 0.1927203 0.1169416 0.0847592 0.1987103 0.1937565 0.1618522 0.0610042 0.0727679 0.2741416 0.0659222 0.2400668 0.3557355 0.0629479 0.5084168
ses 0.4000470 0.7272181 0.6081320 0.8192362 0.8742504 0.8698745 0.8698803 0.7381858 0.7738716 0.9068133 0.6868622 0.9003416 0.7515220 0.7491745 0.7221818
edu 0.3260022 0.8574240 0.8591746 0.5555500 0.5012617 0.5883398 0.7085892 0.6828354 0.9763485 0.5663699 0.7266350 0.3953862 0.6805026 0.7921564 0.9581137
Withdrawal 0.3762702 0.1392127 0.2914741 0.6484347 0.5279711 0.7077697 0.4982386 0.4350911 0.5802212 0.7092194 0.3453597 0.3190564 0.5969900 0.6947063 0.9787298
Volatility 0.5593352 0.1761338 0.2817645 0.5714572 0.4722238 0.6666047 0.4859409 0.4227276 0.6332791 0.6771862 0.3222780 0.3347851 0.5900859 0.6124498 0.9346179
Compassion 0.3307536 0.0494253 0.0244155 0.7118672 0.9024982 0.8217927 0.8561079 0.5688903 0.3510364 0.9607013 0.5988641 0.8346449 0.3513430 0.2526763 0.1994750
Politeness 0.9782263 0.0092115 0.0047558 0.5002982 0.9106995 0.7245328 0.8198402 0.4460838 0.2500572 0.8833527 0.5379588 0.8760444 0.8687583 0.2470783 0.5573342
Industriousness 0.6665818 0.0772419 0.0769253 0.9923104 0.7640906 0.9253751 0.7582340 0.8243485 0.9100554 0.8356331 0.6505848 0.4586582 0.6668330 0.7725968 0.8788787
Orderliness 0.9030868 0.1980457 0.0652493 0.5086314 0.7966033 0.5413357 0.8085396 0.5077904 0.3274988 0.8473246 0.6422732 0.9204884 0.8487492 0.4218625 0.5991223
Enthusiasm 0.7392909 0.1480586 0.0963906 0.5907967 0.3980403 0.7277631 0.5682715 0.6239710 0.9214085 0.5824142 0.5444418 0.4276074 0.6595926 0.5841318 0.3315052
Assertiveness 0.9744435 0.4441571 0.4947310 0.8287904 0.7188022 0.9182582 0.7363758 0.6799073 0.7484308 0.8907576 0.5751815 0.5546154 0.7499440 0.8652073 0.4534523
Intellect 0.5975393 0.2548477 0.3027259 0.7095939 0.5303735 0.8909744 0.6715558 0.6873969 0.9217548 0.8058381 0.5352507 0.5870528 0.7545724 0.8335247 0.4724445
Openness 0.0873495 0.5975061 0.3793790 0.5331360 0.3897857 0.7147182 0.6866716 0.8308223 0.8801805 0.6055127 0.7173867 0.6962072 0.4068552 0.3901061 0.2816925
cesd.total 0.2726988 0.0443929 0.1229697 0.8441792 0.6715615 0.8737759 0.6609047 0.5666498 0.8192831 0.8307527 0.5022889 0.3229231 0.4222593 0.9444463 0.7444946


Plots

Significant Ellipses

Correlation Plot with only significant relationships indicated by ellipses

corrplot(corr = cor_obj_r,
         method = "ellipse",
         p.mat = cor_obj_p,
         sig.level = .05,
         insig = "blank",
        # addCoef.col = "black"
        )

All Ellipses

Correlation plot showing all correlations, with significant (p < .05) relationships indicated by an asterisk

corrplot(corr = cor_obj_r,
         method = "ellipse",
         p.mat = cor_obj_p,
         insig = "label_sig",
        # addCoef.col = "black"
        )


Sig Ellipses w/ r values

Additional correlation plots containing r values

corrplot(corr = cor_obj_r,
         method = "ellipse",
         p.mat = cor_obj_p,
         insig = "blank",
         addCoef.col = "black",
         number.cex = .4
        )

All Ellipses w/ r

corrplot(corr = cor_obj_r,
         method = "ellipse",
      #   p.mat = cor_obj_p,
         insig = "label_sig",
         addCoef.col = "black",
         number.cex = .3
        )

# Save output

# png(filename = "corrPlot_1.png",
#     width = 2000,
#     height = 2000,
#     res = 300)
# 
# corrplot(corr = cor_obj_r,
#          method = "ellipse",
#          p.mat = cor_obj_p,
#          insig = "blank",
#          addCoef.col = "black",
#          number.cex = .65,
#          tl.col = "#003594",
#          tl.cex = 1,
#          tl.srt = 45
#         )
# dev.off()


#updated output showing all numbers


# png(filename = "corrPlot_2.png",
#     width = 2000,
#     height = 2000,
#     res = 300)
# 
# corrplot(corr = cor_obj_r,
#          method = "ellipse",
#        #  p.mat = cor_obj_p,
#          insig = "label_sig",
#          addCoef.col = "black",
#          number.cex = .65,
#          tl.col = "#003594",
#          tl.cex = 1,
#          tl.srt = 45
#         )
# dev.off()

Discussion

In the current study, we recruited a relatively large sample of speakers (targets) and listeners (raters). We examined the rating behaviors of the listeners by averaging their ratings across all of the respective speakers they judged. As a result, these average scores functionally reveal trends in listeners’ perceptions across multiple speakers, regardless of the unique features of the speakers.

To date, much of the literature has focused on the features of one’s speech that correlate with listener perception (e.g., pitch and sexual attraction). To our knowledge, relatively few studies examine the features of the listener that may influence their ratings of a speaker. More colloquially, it takes two to tango and a listener’s judgment of a speaker may be, in part, influenced by their own features (e.g., personality).

We found that listeners, on average, rated speakers higher in the traits of Industriousness, Intellect, Opennes, Orderliness, and Politeness, and lower in traits of Enthusiasm, and the two aspects of Neuroticism - Volatility and Withdrawal. However, while these differences are “statistically significant,” the actual differences between the traits are relatively small. The most notable differences is the general trend for listeners to rate speakers significantly lower in the two aspects of Neuroticism, Volatility and Withdrawal.

We also found that listeners who were older were more likely to rate speakers lower in Volatility and Withdrawal. Additionally, listeners who were higher in traits of Compassion and Politeness were also more likely to rate a speaker as lower in Volatility and Withdrawal. Interestingly, despite the general trend for speakers to be rated lower in Withdrawal, listeners who reported higher scores on the CES-D (a measure of depression), tended to rate speakers higher in Withdrawal.

These findings suggest that, regardless of unique features of a speaker, people who are older, more compassionate, and more polite generally view speakers as less withdrawn and volatile. Conversely, those individuals who are reporting higher levels of depression symptomatology may “project” or view others as more withdrawn, regardless of the features of the speaker.

Taken together, these findings support the idea that listener features may meaningfully relate to perceptions made about speakers. More work is necessary, but future research into listener perception may seek to control for specific features of listeners (e.g., personality traits, depression) that may influence their ratings of speakers.

Limitations

This exploratory study is not without its limitations.

  • First, not all listeners were rated by the same speakers. We sought to recruit a large, diverse sample of speakers and listeners. Listeners could participate and rate as many listeners that they wanted to, discontinuing at any time.

  • Second, with the current study design, we are unable to control for the halo effect - i.e., a listener who has a positive impression in one trait, may influence the listener’s ratings of the speaker in other traits.

  • Thid, we collected a variety of speech tasks from the speakers, ranging from rote (i.e., say the months of the year) to expository (describe making a peanut butter & jelly sandwich). These speech tasks may not elicit certain features of one’s speech patterns that a listener may use to form a judgment about a speaker (e.g., increased intensity and volatility).

  • Additionally, we have only examined individual correlations between variables, and additional relationships may be uncovered when examining multiple correlations.

  • Finally, we have not corrected for multiple comparisons, and it is possible that some of the “statistically significant” findings are Type I errors.

Despite these limitations, in a large sample of speakers and listeners, we found potentially meaningful relationships between traits of a listener and their rating behaviors, irrespective of the unique features of the speaker.